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Robotics

2069 directly classified papers

Papers per year

Papers

Finetuning Offline World Models in the Real World CORL 2023
Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms CORL 2023
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation RSS 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023
Learning and Adapting Agile Locomotion Skills by Transferring Experience RSS 2023
Soft Action Priors: Towards Robust Policy Transfer AAAI 2023
Masked Trajectory Models for Prediction, Representation, and Control ICML 2023
Robot Parkour Learning CORL 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CORL 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation CVPR 2023
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models ICML 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes ICML 2023
Polybot: Training One Policy Across Robots While Embracing Variability CORL 2023
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play CORL 2023
Preference learning for guiding the tree search in continuous POMDPs CORL 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels ICML 2023
Video Prediction Models as Rewards for Reinforcement Learning NIPS 2023
Continual Vision-based Reinforcement Learning with Group Symmetries CORL 2023
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation NIPS 2023
Accelerating Exploration with Unlabeled Prior Data NIPS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
Symmetry-Aware Robot Design with Structured Subgroups ICML 2023
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms NIPS 2023