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500	[ { "context": "If the Turing test is passed, does this imply that computers exhibit intelligence? Turing test was created to test machines exhibiting behavior equivalent or indistinguishable from that of a human. Is that the sufficient condition of intelligence?\n", "images": null, "role": "user", "t...
501	[ { "context": "Can neuroevolution be combined with gradient descent? Is there any precedent for using a neuroevolution algorithm, like NEAT, as a way of getting to an initialization of weights for a network that can then be fine-tuned with gradient descent and back-propagation? \nI wonder if this may be a faster...
502	[ { "context": "Are PAC learnability and the No Free Lunch theorem contradictory? I am reading the Understanding Machine Learning book by Shalev-Shwartz and Ben-David and based on the definitions of PAC learnability and No Free Lunch Theorem, and my understanding of them it seems like they contradict themselves. ...
503	[ { "context": "What are the available exploration strategies for continuous action space scenarios in RL? I'm building a deep neural network to serve as the policy estimator in an actor-critic reinforcement learning algorithm for a continuing (not episodic) case. I'm trying to determine how to explore the actio...
504	[ { "context": "What is the difference between on and off-policy deterministic actor-critic? In the paper Deterministic Policy Gradient Algorithms, I am really confused about chapter 4.1 and 4.2 which is \"On and off-policy Deterministic Actor-Critic\". \nI don't know what's the difference between two algorithms....
505	[ { "context": "Why do Bellman equations indirectly create a policy? I was watching a lecture on policy gradients and Bellman equations. And they say that a Bellman equation indirectly creates a policy, while the policy gradient directly learns a policy. Why is this?\n", "images": null, "role": "user", ...
506	[ { "context": "What are some academic AI podcast out there? I am looking for AI podcasts that are purely academic-oriented that I can use for learning purposes. Thanks for any resource pointers.\nThe AI podcasts I am aware of are (not sure how many of these can be considered academic):\n\nThe AI Podcast\nLinear ...
507	[ { "context": "How is iterative deepening A* better than A? The iterative deepening A search is an algorithm that can find the shortest path between a designated start node and any member of a set of goals. \nThe A* algorithm evaluates nodes by combining the cost to reach the node and the cost to get from the ...
508	[ { "context": "What is the difference between a Bayesian Network and a Markov Chain? I am trying to understand the difference between a Bayesian Network and a Markov Chain.\nWhen I search for this one the web, the unanimous solution seems to be that a Bayesian Network is directional (i.e. it's a DAG) and a Marko...
509	[ { "context": "Does each filter in each convolution layer create a new image? Say I have a CNN with this structure:\n\ninput = 1 image (say, 30x30 RGB pixels)\nfirst convolution layer = 10 5x5 convolution filters\nsecond convolution layer = 5 3x3 convolution filters\none dense layer with 1 output\n\nSo a graph o...
510	[ { "context": "What does \"e\" do in the Sigmoid Activation Function? Within the Sigmoid Squishification function,\nf(x) = 1/(1 + e^(-x))\n\n\"e\" is unnecessary, as it can be replaced by any other value that is not 0 or 1. Why is \"e\" used here?\nAs shown below, the function is working well without that, and i...
511	[ { "context": "Why is the generation of deep style images so slow and resource-hungry? Consider these neural style algorithms which produce some art work:\n\nNeural Doodle\nneural-style\n\nWhy is generating such images so slow and why does it take huge amounts of memory? Isn't there any method of optimizing the ...
512	[ { "context": "Deep Q-Learning poor convergence on Stochastic Environment I'm trying to implement a Deep Q-network in Keras/TF that learns to play Minesweeper (our stochastic environment). I have noticed that the agent learns to play the game pretty well with both small and large board sizes. However, it only co...
513	[ { "context": "2 Player Games in OpenAI Retro I have been using OpenAI Retro for awhile, and I wanted to experiment with two player games. By two player games, I mean co-op games like \"Tennis-Atari2600\" or even Pong, where 2 agents are present in one environment.\nThere is a parameter for players in the OpenAI...
514	[ { "context": "CNNs: What happens from one neuron volume to the next? I've gone through several descriptions of CNNs online and they all leave out a crucial part as if it were trivial.\nA \"volume\" of neurons consists of several parallel layers (\"feature maps\"), each the result of convolving with a different ...
515	[ { "context": "What is the purpose of the hidden layers? Why would anybody want to use \"hidden layers\"? How do they enhance the learning ability of the network in comparison to the network which doesn't have them (linear models)?\n", "images": null, "role": "user", "thinking": null, "tool_calls...
516	[ { "context": "How to deal with episode termination in Advantage Actor-Critic algorithm? Advantage Actor-Critic algorithm may use the following expression to get 1-step estimate of the advantage:\n$ A(s_t,a_t) = r(s_t, a_t) + \\gamma V(s_{t+1}) (1 - done_{t+1}) - V(s_t) $\nwhere $done_{t+1}=1$ if $s_{t+1}$ is a...
517	[ { "context": "What loss function to use when labels are probabilities? What loss function is most appropriate when training a model with target values that are probabilities? For example, I have a 3-output model. I want to train it with a feature vector $x=[x_1, x_2, \\dots, x_N]$ and a target $y=[0.2, 0.3, 0.5...
518	[ { "context": "Why is the state-action value function used more than the state value function? In reinforcement learning, the state-action value function seems to be used more than the state value function. Why is it so?\n", "images": null, "role": "user", "thinking": null, "tool_calls": null }...
519	[ { "context": "Is it possible to implement reinforcement learning using a neural network? I've implemented the reinforcement learning algorithm for an agent to play snappy bird (a shameless cheap ripoff of flappy bird) utilizing a q-table for storing the history for future lookups. It works and eventually achiev...
520	[ { "context": "What is the difference between artificial intelligence and robots? What is the difference between artificial intelligence and robots?\n", "images": null, "role": "user", "thinking": null, "tool_calls": null }, { "context": "Although there are several definitions of \"robot\...
521	[ { "context": "What is the difference between asymmetric and depthwise separable convolution? I have recently discovered asymmetric convolution layers in deep learning architectures, a concept which seems very similar to depthwise separable convolutions.\nAre they really the same concept with different names? If...
522	[ { "context": "How to turn a ternary constraint into three binary constraints? I'm trying to solve problem 6.6 from the book Artificial Intelligence: A Modern Approach, by Peter Norvig and Stuart Russell.\nThis is in the context of Constraint Satisfaction Problem and how you can re-formulate some problems with t...
523	[ { "context": "How are the kernels initialized in a convolutional neural network? I am currently learning about CNNs. I am confused about how filters (aka kernels) are initialized.\nSuppose that we have a $3 \\times 3$ kernel. How are the values of this filter initialized before training? Do you just use predefi...
524	[ { "context": "Is reinforcement learning needed to create Strong AI? By reinforcement learning, I don't mean the class of machine learning algorithms such as DeepQ, etc. I have in mind the general concept of learning based on rewards and punishment.\nIs it possible to create a Strong AI that does not rely on lea...
525	[ { "context": "How would an AI learn idiomatic phrases in a natural language? After an AI goes through the process described in How would an AI learn language?, an AI knows the grammar of a language through the process of grammar induction. They can speak the language, but they have learned formal grammar. But m...
526	[ { "context": "Why is my test error lower than the training error? I am trying to train a CNN regression model using the ADAM optimizer, dropout and weight decay.\nMy test accuracy is better than training accuracy. But, as far as I know, usually, the training accuracy is better than test accuracy.\nSo I wonder h...
527	[ { "context": "How does Hearthstone AI deal with random events I want to learn a lot about the AI of CCG, such as Hearthstone. And now I have known one of the main algorithms that used in this kind of games, MCTS. It analyses the most promising moves, and expands the search tree based on random sampling of the s...
528	[ { "context": "How can action recognition be achieved? For example, I would like to train my neural network to recognize the type of actions (e.g. in commercial movies or some real-life videos), so I can \"ask\" my network in which video or movie (and at what frames) somebody was driving a car, kissing, eating, ...
529	[ { "context": "Do we have to use CNN for Deep Q Learning? I read top articles on Google Search about Deep Q-Learning:\n\nhttps://medium.freecodecamp.org/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8\nhttps://skymind.ai/wiki/deep-reinforcement-learning\nhttps://neuro.cs.ut.ee/demystifying-deep-re...
530	[ { "context": "Does data skew matter in classification problem? I'm working on an image classification problem using a neural network. In the training data set, 90% of the samples fall into 10% of all categories, while 10% of the sample fall into the other 90% categories. So an example is not evenly distributed ...
531	[ { "context": "Why is my implementation of Q-learning not converging to the right values in the FrozenLake environment? I am trying to learn tabular Q learning by using a table of states and actions (i.e. no neural networks). I was trying it out on the FrozenLake environment. It's a very simple environment, wher...
532	[ { "context": "How to avoid falling into the \"local minima\" trap? How do I avoid my gradient descent algorithm into falling into the \"local minima\" trap while backpropogating on my neural network?\nAre there any methods which help me avoid it?\n", "images": null, "role": "user", "thinking": null,...
533	[ { "context": "Why do Transformers have a sequence limit at inference time? As far as I understand, Transformer's time complexity increases quadratically with respect to the sequence length. As a result, during training to make training feasible, a maximum sequence limit is set, and to allow batching, all sequen...
534	[ { "context": "Has reinforcement learning been used to prove mathematical theorems? Coq exists, and there are other similar projects out there. Further, Reinforcement Learning has made splashes in the domain of playing games (a la Deepmind & OpenAI and other less well-known efforts).\nIt seems to me that these t...
535	[ { "context": "Which courses in computer science and logic are relevant to Machine Learning? Although I have a decent background in math, I'm trying to understand which courses from CS and logic to look into. My aim is to get into a Machine Learning PhD program.\n", "images": null, "role": "user", "t...
536	[ { "context": "Is there an argument against using the (reviewed) predictions of a model as ground truth to further train exactly this model? I plan to use my predictions as ground truth to continue training my model. These predictions are of course reviewed during this process. Is there an argument against that ...
537	[ { "context": "Are there any laws or regulations precluding AGI models from creating their own accounts for online platforms? By artificial general intelligence (AGI), I am referring to autonomous AI models that satisfy IBM’s AGI definition:\n\nArtificial general intelligence (AGI) is a hypothetical stage in the...
538	[ { "context": "During neural network training, can gradients leak sensitive information in case training data fed is encrypted (homomorphic)? Some algorithms in the literature allow recovering the input data used to train a neural network. This is done using the gradients (updates) of weights, such as in Deep Le...
539	[ { "context": "Why is the evidence equal to the KL divergence plus the loss? Why is the equation $$\\log p_{\\theta}(x^1,...,x^N)=D_{KL}(q_{\\theta}(z\|x^i)\|\|p_{\\phi}(z\|x^i))+\\mathbb{L}(\\phi,\\theta;x^i)$$ true, where $x^i$ are data points and $z$ are latent variables?\nI was reading the original variation aut...
540	[ { "context": "How are continuous actions sampled (or generated) from the policy network in PPO? I am trying to understand and reproduce the Proximal Policy Optimization (PPO) algorithm in detail. One thing that I find missing in the paper introducing the algorithm is how exactly actions $a_t$ are generated giv...
541	[ { "context": "When should we use separable convolution? I was reading the \"Deep Learning with Python\" by François Chollet. He mentioned separable convolution as following\n\nThis is equivalent to separating the learning of spatial features and\nthe learning of channel-wise features, which makes a lot of sense...
542	[ { "context": "Why do larger language models still fail on simple compositional reasoning tasks? Large language models often perform impressively on benchmark tasks, coding, and natural language generation, but they can still fail on reasoning problems that seem simple for humans, especially when multiple constr...
543	[ { "context": "Smallest possible network to approximate the $sin$ function The main goal is: Find the smallest possible neural network to approximate the $sin$ function.\nMoreover, I want to find a qualitative reason why this network is the smallest possible network.\nI have created 8000 random $x$ values with c...
544	[ { "context": "Is there any good reference for double deep Q-learning? I am new in reinforcement learning, but I already know deep Q-learning and Q-learning. Now, I want to learn about double deep Q-learning. \nDo you know any good references for double deep Q-learning? \nI have read some articles, but some of t...
545	[ { "context": "How could AI solve planet's major problems? I had been reading that AI could solve planet's major problems. How could it be done? For example, how exactly could AI be applied to address climate change? What are examples of applications of AI to solve these problems? \n", "images": null, "...
546	[ { "context": "What are the conditions of convergence of temporal-difference learning? In reinforcement learning, temporal difference seem to update the value function in each new iteration of experience absorbed from the environment. \nWhat would be the conditions for temporal-difference learning to converge in...
547	[ { "context": "Is this proof of $\\epsilon$-greedy policy improvement correct? The following paragraph about $\\epsilon$-greedy policies can be found at the end of page 100, under section 5.4, of the book \"Reinforcement Learning: An Introduction\" by Richard Sutton and Andrew Barto (second edition, 2018).\n\nbu...
548	[ { "context": "Understanding multi-iteration updates of the model in the Proximal Policy Optimization algorithm I have a general question about the updating of the network/model in the PPO algorithm.\nIf I understand it correctly, there are multiple iterations of weight updates done on the model with data that i...
549	[ { "context": "Is it feasible to train a Machine Learning Model (with image inputs) in an average personal computer? There are lots of examples of machine learning systems that can recognize objects and extract other information from images with very high precision. To train the models of such systems is necessa...
550	[ { "context": "Has anybody tried unsupervised deep learning from youtube videos? YouTube has a huge amount of videos, many of which also containing various spoken languages. This would presumably provide something like the data that a \"challenged\" baby would experience - \"challenged\" meaning a baby without a...
551	[ { "context": "What is the difference between neural networks and other ways of curve fitting? For simplicity, let's assume we want to solve a regression problem, where we have one independent variable and one dependent variable, which we want to predict. Let's also assume that there is a nonlinear relationship ...
552	[ { "context": "Has any research been done on DNN Music? DNNs are typically used to classify things (of course) but can we let them go wild with sounds and then tell them if we think it sounds good or not? I'd like to think after a training class has been made (perhaps comparing the output to an existing song) we...
553	[ { "context": "How is the distance between pointers in Stochastic Universal Sampling determined? I'm studying about different selection methods in genetic algorithms. My question is about the Stochastic Universal Sampling (SUS) selection method. I know that each individual will occupy a segment of the line accor...
554	[ { "context": "Why is second-order backpropagation useful? Raul Rojas's book on Neural Networks dedicates section 8.4.3 to explaining how to do second-order backpropagation, that is, computing the Hessian of the error function with respect to two weights at a time.\nWhat problems are easier to solve using this a...
555	[ { "context": "Can an AGI convince another AGI to modify its code? Let's suppose there are two AGIs, $A$ and $B$. Assume that $B$ has the ability to modify $A$, but this action of modifying is considered bad by $B$. Can $A$ ever convince $B$ to modify $A$?\n", "images": null, "role": "user", "thinkin...
556	[ { "context": "How should I handle invalid actions in a grid world? I'm building a really simple experiment, where I let an agent move from the bottom-left corner to the upper-right corner of a $3 \\times 3$ grid world.\nI plan to use DQN to do this. I'm having trouble handling the starting point: what if the Q ...
557	[ { "context": "How can we compute the ratio between the distributions if we don't know one of the distributions? Here is my understanding of importance sampling. If we have two distributions $p(x)$ and $q(x)$, where we have a way of sampling from $p(x)$ but not from $q(x)$, but we want to compute the expectation...
558	[ { "context": "What are the state-of-the-art meta-reinforcement learning methods? This question can seem a little bit too broad, but I am wondering what are the current state-of-the-art works on meta reinforcement learning. Can you provide me with the current state-of-the-art in this field?\n", "images": nul...
559	[ { "context": "Is the state transition matrix known to the agents in a Markov decision processes? The question is more or less in the title.\nA Markov decision process consists of a state space, a set of actions, the transition probabilities and the reward function. If I now take an agent's point of view, does t...
560	[ { "context": "Is AI capable to replace pilots entirely on the commercial flights? Since we've self-driving cars already, would we have self-flying commercial flights in the near future? Basically the AI which can do take off, flying, landing and parking.\n", "images": null, "role": "user", "thinking...
561	[ { "context": "Do neurons of a neural network model a linear relationship? I'm certain that this is a very naive question, but I am just beginning to look more deeply at neural networks, having only used decision tree approaches in the past. Also, my formal mathematics training is more than 30 years in the past...
562	[ { "context": "How should I define the action space for a card game like Magic: The Gathering? I'm trying to learn about reinforcement learning techniques. I have little background in machine learning from university, but never more than using a CNN on the MNIST database.\nMy first project was to use reinforceme...
563	[ { "context": "How do recommendation systems work? How do recommendation systems (e.g. on Youtube) work? Apparently, every user gets different recommendations depending on his location, his past liked videos, etc. So it would seem like a training model is applied to every single user, but that can't be possible,...
564	[ { "context": "Is the discount not needed in a deterministic environment for Reinforcement Learning? I'm now reading a book titled as \"Deep Reinforcement Learning Hands-On\" and the author said the following on the chapter about AlphaGo Zero:\n\nSelf-play\nIn AlphaGo Zero, the NN is used to approximate the prio...
565	[ { "context": "What's the difference between LSTM and GRU? I have been reading about LSTMs and GRUs, which are recurrent neural networks (RNNs). The difference between the two is the number and specific type of gates that they have. The GRU has an update gate, which has a similar role to the role of the input an...
566	[ { "context": "How do you encode a chess move in a neural network? In a neural network for chess (or checkers), the output is a piece or square on the board and an end position.\nHow would one encode this?\nAs far as I can see choosing a starting square is 8x8=64 outputs and an ending square is 8x8=64 outputs. S...
567	[ { "context": "Is an embedding a representation of a word or its meaning? What does the term \"embedding\" actually mean?\nAn embedding is a vector, but is that vector a representation of a word or its meaning? Literature loosely uses the word for both purposes. Which one is actually correct?\nOr is there anythi...
568	[ { "context": "How to stop DQN Q function from increasing during learning? Following the DQN algorithm with experience replay:\nStore transition $\\left(\\phi_{t}, a_{t}, r_{t}, \\phi_{t+1}\\right)$ in $D$ Sample random minibatch of transitions $\\left(\\phi_{j}, a_{j}, r_{j}, \\phi_{j+1}\\right)$ from $D$ Set\n...
569	[ { "context": "\"AI will kill us all! The machines will rise up!\" - what is being done to dispel such myths? Science Fiction has frequently shown AI to be a threat to the very existence of mankind. AI systems have often been the antagonists in many works of fiction, from 2001: A Space Odyssey through to The Ter...
570	[ { "context": "What makes learned feature detectors specialize in CNN? It has been shown that it is possible to use unsupervised learning techniques to produce good feature detectors in CNNs. I can't understand what drives specialization of those feature detectors. In publications https://papers.nips.cc/paper/48...
571	[ { "context": "Would a general-purpose AI need to collaborate? Human beings are more productive in groups than individually, possibly due to the fact that there is a limit to how much one human brain can improve itself in terms of speed of computation and areas of expertise.\nBy contrast, if a machine with gener...
572	[ { "context": "Are iterative deepening, principal variation search or quiescence search extensions of alpha-beta pruning? I know that there are several optimizations for alpha-beta pruning. For example, I have come across iterative deepening, principal variation search, or quiescence search.\nHowever, I am a lit...
573	[ { "context": "Is there ever a need to combine deep learning frameworks? (Eg. TensorFlow & Torch)? Imagine a simple scenario of having a large repository using one framework and integrated with data/robots, etc., then having a new feature requested and the framework missing some vital functionality that is avail...
574	[ { "context": "What does \"statistical efficiency\" mean in this context? Consider the following statement(s) from Deep Learning book (p. 333, chapter 9: Convolutional Networks) by Ian Goodfellow et al.\n\nConvolution is thus dramatically more efficient than dense matrix\nmultiplication in terms of the memory re...
575	[ { "context": "What is a \"surrogate model\"? In the following paragraph from the book Automated Machine Learning: Methods, Systems, Challenges (by Frank Hutter et al.)\n\nIn this section we first give a brief introduction to Bayesian optimization, present alternative surrogate models used in it, describe extens...
576	[ { "context": "Is Expected SARSA an off-policy or on-policy algorithm? I understand that SARSA is an On-policy algorithm, and Q-learning an off-policy one.\nSutton and Barto's textbook describes Expected Sarsa thusly:\n\nIn these cliff walking results Expected Sarsa was used on-policy, but\n in general it might...
577	[ { "context": "What is the intuition behind self-attention? I've been watching a few lectures on transformers, especially for language translation, though it seemingly becomes more confusing the more I watch.\nIn this lecture, there seems to be two conflicting views of self-attention. First, there's an Iron Man ...
578	[ { "context": "Why isn't conditional probability sufficient to describe causality? I read these comments from Judea Pearl saying we don't have causality, physical equations are symmetric, etc. But the conditional probability is clearly not symmetric and captures directed relationships. \nHow would Pearl respond ...
579	[ { "context": "Reinforcement Learning with more actions than states I have read a lot about RL recently. As far as I understood, most RL applications have much more states than there are actions to choose from.\nI am thinking about using RL for a problem where I have got a lot of actions to choose from, but only...
580	[ { "context": "How can the discriminator determine the sample is fake or real? Based on the articles I've read, the discriminator can identify whether a sample is fake or real. However, the articles don't clarify the conditions used to determine if a sample is fake or real. I came across information suggesting t...
581	[ { "context": "How can an decoder-only transformer be used for document embedding? GPT3 and 4 are both examples of decoder-only models. However OpenAI offers an text embedding API endpoint based on these models. This begs the general question how can one obtain text embeddings from a decoder-only transformer mod...
582	[ { "context": "How does the Alpha Zero's move encoding work? I am a beginner in AI. I'm trying to train a multi-agent RL algorithm to play chess. One issue that I ran into was representing the action space (legal moves/or honestly just moves in general) numerically. I looked up how Alpha Zero represented it, and...
583	[ { "context": "Why use a \"square root\" in the scaled dot product In attention settings, typically when the both Query Q and Key K are of the same dimension d we can compute their attention score in the following manner:\n$$\\frac{Q^T K}{\\sqrt{d}}$$\nThe justification being that the dot product tends to blow u...
584	[ { "context": "What if the more fit parent has fewer nodes compared to the other, will the disjoint and excess genes be discarded? In the paper Efficient Evolution of Neural Network Topologies (2002), the authors say \n\nGenes that do not match are inherited from the more fit parent\n\nWhat if the more fit paren...
585	[ { "context": "How to generalise over multiple simultaneous dependent actions in Reinforcement Learning I am trying to build an RL agent to price paid-for-seating on commercial flights. I should reiterate here - I am not talking about the price of the ticket - rather, I am talking about the pricing you see if yo...
586	[ { "context": "Video summarization similar to Summe's TextRank We have the popular TextRank API which given a text, ranks keywords and can apply summarization given a predefined text length. \nI am wondering if there is a similar tool for video summarization. Maybe a library, a deep model or ML-based tool that g...
587	[ { "context": "Is it ok to struggle with mathematics while learning AI as a beginner? I have a decent background in Mathematics and Computer Science .I started learning AI from Andrew Ng's course from one month back. I understand logic and intuition behind everything taught but if someone asks me to write or der...
588	[ { "context": "Why does TD Learning require Markovian domains? One of my friends and I were discussing the differences between Dynamic Programming, Monte-Carlo, and Temporal Difference (TD) Learning as policy evaluation methods - and we agreed on the fact that Dynamic Programming requires the Markov assumption w...
589	[ { "context": "When is the Markov decision process not adequate for goal-directed learning tasks? In the book Reinforcement Learning: An Introduction (Sutton and Barto, 2018). The authors ask\n\nExercise 3.2: Is the MDP framework adequate to usefully represent all goal-directed learning tasks? Can you think of ...
590	[ { "context": "Do convolutional neural networks perform convolution or cross-correlation? Typically, people say that convolutional neural networks (CNN) perform the convolution operation, hence their name. However, some people have also said that a CNN actually performs the cross-correlation operation rather tha...
591	[ { "context": "Is there a theoretical maximum for intelligence? From Artificial Intelligence: A Modern Approach, Third Edition, Chapter 26:\n\nNote that the concept of ultraintelligent machines assumes that intelligence is an especially important attribute, and if you have enough of it, all problems can be solve...
592	[ { "context": "How to use computer vision to find corners of a soccer field based on location coordinates? I want to use computer vision to allow my robot to detect the corners of a soccer field based on its current position. Matlab has a detectHarrisFeatures feature, but I believe it is only for 2D mapping.\nT...
593	[ { "context": "What is a \"logit probability\"? DeepMind's paper \"Mastering the game of Go without human knowledge\" states in its \"Methods\" section on its \"Neural network architecture\" that the output layer of AlphaGo Zero's policy head is \"A fully connected linear layer that outputs a vector of size 19^2...
594	[ { "context": "How to show temporal difference methods converge to MLE? In chapter 6 of Sutton and Barto (p. 128), they claim temporal difference converges to the maximum likelihood estimate (MLE). How can this be shown formally?\n", "images": null, "role": "user", "thinking": null, "tool_calls":...
595	[ { "context": "Is the play of strong Chess AI easily distinguishable from human play? I don't play nearly enough Chess to be able to answer. For context, AlphaGo is stronger than the current strongest human player, but AlphaGo's game play has been cast as \"inhuman\" in the sense that it doesn't resemble human ...
596	[ { "context": "How can I formulate the map colouring problem as a hill climbing search problem? I have a map. I need to colour it with $k$ colours, such that two adjacent regions do not share a colour. \nHow can I formulate the map colouring problem as a hill climbing search problem?\n", "images": null, ...
597	[ { "context": "Why do feedforward neural networks require the inputs to be of a fixed size, while RNNs can process variable-size inputs? Why does a vanilla feedforward neural network only accept a fixed input size, while RNNs are capable of taking a series of inputs with no predetermined limit on the size? Can a...
598	[ { "context": "How was ChatGPT trained? I know that large language models like GPT-3 are trained simply to continue pieces of text that have been scraped from the web. But how was ChatGPT trained, which, while also having a good understanding of language, is not directly a language model, but a chatbot? Do we kn...
599	[ { "context": "Benchmarks for reinforcement learning in discrete MDPs To compare the performance of various algorithms for perfect information games, reasonable benchmarks include reversi and m,n,k-games (generalized tic-tac-toe). For imperfect information games, something like simplified poker is a reasonable b...

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