prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the DREAMER model in the paper on the cartpole.balance_sparse dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Cart-Pole Balancing (noisy observations) dataset? | Score |
What metrics were used to measure the SAC gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the SAC model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the TD3 model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the TD3 gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the PPO gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the PPO model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the A2C gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the A2C model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Walker2D dataset? | Return |
What metrics were used to measure the MuZero Unplugged model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the manipulator.insert_peg dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Inverted Pendulum dataset? | Score |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Cart-Pole Balancing dataset? | Score |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Mountain Car dataset? | Score |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the cartpole.swingup_sparse dataset? | Return |
What metrics were used to measure the CURL model in the CURL: Contrastive Unsupervised Representations for Reinforcement Learning paper on the Ball in cup, catch (DMControl500k) dataset? | Score |
What metrics were used to measure the DrQ model in the Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels paper on the DeepMind Walker Walk (Images) dataset? | Return |
What metrics were used to measure the PlaNet model in the Learning Latent Dynamics for Planning from Pixels paper on the DeepMind Walker Walk (Images) dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Hopper dataset? | Score |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the walker.walk dataset? | Return |
What metrics were used to measure the MuZero Unplugged model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the walker.walk dataset? | Return |
What metrics were used to measure the DrQ model in the Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels paper on the DeepMind Cup Catch (Images) dataset? | Return |
What metrics were used to measure the PlaNet model in the Learning Latent Dynamics for Planning from Pixels paper on the DeepMind Cup Catch (Images) dataset? | Return |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the cartpole.balance dataset? | Return |
What metrics were used to measure the CURL model in the CURL: Contrastive Unsupervised Representations for Reinforcement Learning paper on the Finger, spin (DMControl500k) dataset? | Score |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Half-Cheetah dataset? | Score |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the cheetah.run dataset? | Return |
What metrics were used to measure the MuZero Unplugged model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the cheetah.run dataset? | Return |
What metrics were used to measure the CURL model in the CURL: Contrastive Unsupervised Representations for Reinforcement Learning paper on the Walker, walk (DMControl100k) dataset? | Score |
What metrics were used to measure the MuZero Unplugged model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the fish.swim dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Acrobot dataset? | Score |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Inverted Pendulum (system identifications) dataset? | Score |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Acrobot (system identifications) dataset? | Score |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the walker.stand dataset? | Return |
What metrics were used to measure the MuZero Unplugged model in the Online and Offline Reinforcement Learning by Planning with a Learned Model paper on the walker.stand dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Mountain Car (system identifications) dataset? | Score |
What metrics were used to measure the DreamerV1 model in the paper on the DeepMind Cheetah Run (Images) dataset? | Return |
What metrics were used to measure the SLAC model in the paper on the DeepMind Cheetah Run (Images) dataset? | Return |
What metrics were used to measure the DrQ model in the Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels paper on the DeepMind Cheetah Run (Images) dataset? | Return |
What metrics were used to measure the PlaNet model in the 007: Democratically Finding The Cause of Packet Drops paper on the DeepMind Cheetah Run (Images) dataset? | Return |
What metrics were used to measure the TRPO model in the Benchmarking Deep Reinforcement Learning for Continuous Control paper on the Swimmer + Maze dataset? | Score |
What metrics were used to measure the SAC gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the PPO gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the SAC model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the TD3 model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the TD3 gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the PPO model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the A2C model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the A2C gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Hopper dataset? | Return |
What metrics were used to measure the SAC gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the TD3 gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the TD3 model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the SAC model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the PPO gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the A2C gSDE model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the PPO model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the A2C model in the Smooth Exploration for Robotic Reinforcement Learning paper on the PyBullet Ant dataset? | Return |
What metrics were used to measure the SMuZero model in the Learning and Planning in Complex Action Spaces paper on the quadruped.run dataset? | Return |
What metrics were used to measure the SGAligner model in the SGAligner : 3D Scene Alignment with Scene Graphs paper on the 3RScan dataset? | CD |
What metrics were used to measure the GeDi model in the Learning general and distinctive 3D local deep descriptors for point cloud registration paper on the 3DMatch (trained on KITTI) dataset? | Recall |
What metrics were used to measure the SpinNet model in the SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration paper on the 3DMatch (trained on KITTI) dataset? | Recall |
What metrics were used to measure the D3Feat-pred model in the D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features paper on the 3DMatch (trained on KITTI) dataset? | Recall |
What metrics were used to measure the FCGF model in the Fully Convolutional Geometric Features paper on the 3DMatch (trained on KITTI) dataset? | Recall |
What metrics were used to measure the FPFH model in the Fast Point Feature Histograms (FPFH) for 3D Registration paper on the 3DMatch (trained on KITTI) dataset? | Recall |
What metrics were used to measure the NgeNet model in the Leveraging Inlier Correspondences Proportion for Point Cloud Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the GeoTransformer model in the Geometric Transformer for Fast and Robust Point Cloud Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM-Sparse (All post-processing) model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the DGR (RE (all), TE(all) are reported in PCAM) model in the Deep Global Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM-Soft (All post-processing) model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the RANSAC-2M model in the Fast Point Feature Histograms (FPFH) for 3D Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the FGR model in the Fast Global Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the Go-ICP model in the Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the Super4PCS model in the Super 4PCS Fast Global Pointcloud Registration via Smart Indexing paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the ICP (P2Plane) model in the Open3D: A Modern Library for 3D Data Processing paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the ICP (P2Point) model in the Open3D: A Modern Library for 3D Data Processing paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the DCP model in the Deep Closest Point: Learning Representations for Point Cloud Registration paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the PointNetLK model in the PointNetLK: Robust & Efficient Point Cloud Registration using PointNet paper on the 3DMatch (at least 30% overlapped - FCGF setting) dataset? | Recall (0.3m, 15 degrees), RE (all), TE (all) |
What metrics were used to measure the GeoTransformer model in the Geometric Transformer for Fast and Robust Point Cloud Registration paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the DGR + ICP (RE (all), TE(all) are reported in PCAM) model in the Deep Global Registration paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the FCGF model in the Fully Convolutional Geometric Features paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM-soft + ICP model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM-Sparse + ICP model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM - Soft model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the DGR (RE (all), TE(all) are reported in PCAM) model in the Deep Global Registration paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the PCAM-Sparse model in the PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the RANSAC model in the Fast Point Feature Histograms (FPFH) for 3D Registration paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the FGR model in the Fast Global Registration paper on the KITTI (FCGF setting) dataset? | Recall (0.6m, 5 degrees), RE (all), TE (all) |
What metrics were used to measure the IMFNet model in the IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the MS-SVConv model in the 3D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the GeDi (no code published as of May 27 2021) model in the Learning general and distinctive 3D local deep descriptors for point cloud registration paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the SpinNet (no code published as of Dec 15 2020) model in the SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the LMVD model in the End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the DIP + Point-TnT model in the Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the D3Feat-Pred model in the D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the D3Feat-rand model in the D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the DIP model in the Distinctive 3D local deep descriptors paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the 3DSmoothNet model in the The Perfect Match: 3D Point Cloud Matching with Smoothed Densities paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the FCGF + RANSAC model in the Fully Convolutional Geometric Features paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the PPF-FoldNet model in the PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
What metrics were used to measure the 3DMatch + RANSAC model in the 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions paper on the 3DMatch Benchmark dataset? | Feature Matching Recall |
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