prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Prior noop model in the Prioritized Experience Replay paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the IQN model in the Implicit Quantile Networks for Distributional Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the A3C FF (1 day) hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the DQN noop model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the DDQN (tuned) noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the CURL model in the CURL: Contrastive Unsupervised Representations for Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the Duel noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the ES FF (1 hour) noop model in the Evolution Strategies as a Scalable Alternative to Reinforcement Learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the MuZero (Res2 Adam) model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the DNA model in the DNA: Proximal Policy Optimization with a Dual Network Architecture paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the A3C-CTS model in the Unifying Count-Based Exploration and Intrinsic Motivation paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the DQNMMCe+SR model in the Count-Based Exploration with the Successor Representation paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the IMPALA (deep) model in the IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the SARSA model in the paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the Ape-X model in the Distributed Prioritized Experience Replay paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the DDQN (tuned) hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Private Eye dataset? | Score |
What metrics were used to measure the GDI-H3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the R2D2 model in the Recurrent Experience Replay in Distributed Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the MuZero model in the Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Agent57 model in the Agent57: Outperforming the Atari Human Benchmark paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the GDI-I3 model in the GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the GDI-I3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the MuZero (Res2 Adam) model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the UCT model in the The Arcade Learning Environment: An Evaluation Platform for General Agents paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Ape-X model in the Distributed Prioritized Experience Replay paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DreamerV2 model in the Mastering Atari with Discrete World Models paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the FQF model in the Fully Parameterized Quantile Function for Distributional Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DNA model in the DNA: Proximal Policy Optimization with a Dual Network Architecture paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the CGP model in the Evolving simple programs for playing Atari games paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the IMPALA (deep) model in the IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the NoisyNet-Dueling model in the Noisy Networks for Exploration paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Prior noop model in the Prioritized Experience Replay paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Duel noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Prior+Duel hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the IQN model in the Implicit Quantile Networks for Distributional Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the SARSA model in the paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Nature DQN model in the paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Gorila model in the Massively Parallel Methods for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DQN hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DQN noop model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Duel hs model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DDQN (tuned) noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DDQN (tuned) hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Prior hs model in the Prioritized Experience Replay paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the DDQN+Pop-Art noop model in the Learning values across many orders of magnitude paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Prior+Duel noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the A3C LSTM hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the A3C FF hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the A3C FF (1 day) hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the ES FF (1 hour) noop model in the Evolution Strategies as a Scalable Alternative to Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the C51 noop model in the A Distributional Perspective on Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Bootstrapped DQN model in the Deep Exploration via Bootstrapped DQN paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Persistent AL model in the Increasing the Action Gap: New Operators for Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Advantage Learning model in the Increasing the Action Gap: New Operators for Reinforcement Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the QR-DQN-1 model in the Distributional Reinforcement Learning with Quantile Regression paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the A2C + SIL model in the Self-Imitation Learning paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the Best Learner model in the The Arcade Learning Environment: An Evaluation Platform for General Agents paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the ASL DDQN model in the Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity paper on the Atari 2600 Ice Hockey dataset? | Score |
What metrics were used to measure the GDI-I3 model in the GDI: Rethinking What Makes Reinforcement Learning Different From Supervised Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the GDI-I3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the GDI-H3 model in the Generalized Data Distribution Iteration paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the MuZero model in the Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DreamerV2 model in the Mastering Atari with Discrete World Models paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the MuZero (Res2 Adam) model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Agent57 model in the Agent57: Outperforming the Atari Human Benchmark paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the R2D2 model in the Recurrent Experience Replay in Distributed Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Ape-X model in the Distributed Prioritized Experience Replay paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the RIMs-PPO model in the paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the IMPALA (deep) model in the IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DNA model in the DNA: Proximal Policy Optimization with a Dual Network Architecture paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the POP3D model in the Policy Optimization With Penalized Point Probability Distance: An Alternative To Proximal Policy Optimization paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the A3C LSTM hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the IQN model in the Implicit Quantile Networks for Distributional Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the A3C FF hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the UCT model in the The Arcade Learning Environment: An Evaluation Platform for General Agents paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the QR-DQN-1 model in the Distributional Reinforcement Learning with Quantile Regression paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the ES FF (1 hour) noop model in the Evolution Strategies as a Scalable Alternative to Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the NoisyNet-Dueling model in the Noisy Networks for Exploration paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the A3C FF (1 day) hs model in the Asynchronous Methods for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the A2C + SIL model in the Self-Imitation Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Duel noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Prior+Duel noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Bootstrapped DQN model in the Deep Exploration via Bootstrapped DQN paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the ASL DDQN model in the Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Duel hs model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DDQN (tuned) noop model in the Dueling Network Architectures for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Prior+Duel hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DDQN+Pop-Art noop model in the Learning values across many orders of magnitude paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DDQN (tuned) hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Prior noop model in the Prioritized Experience Replay paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the C51 noop model in the A Distributional Perspective on Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the CGP model in the Evolving simple programs for playing Atari games paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Advantage Learning model in the Increasing the Action Gap: New Operators for Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Prior hs model in the Prioritized Experience Replay paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DQN noop model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Gorila model in the Massively Parallel Methods for Deep Reinforcement Learning paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the Nature DQN model in the paper on the Atari 2600 Up and Down dataset? | Score |
What metrics were used to measure the DQN hs model in the Deep Reinforcement Learning with Double Q-learning paper on the Atari 2600 Up and Down dataset? | Score |
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