Reinforcement Learning

Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021 Going Beyond Linear Transformers with Recurrent Fast Weight Programmers NeurIPS 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 GRAC: Self-Guided and Self-Regularized Actor-Critic CoRL 2021 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity ICLR 2021 GridToPix: Training Embodied Agents With Minimal Supervision ICCV 2021 Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning ICML 2021 Group-based Motion Prediction for Navigation in Crowded Environments CoRL 2021 Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021 Guided Imitation of Task and Motion Planning CoRL 2021 Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions CoRL 2021 Habitat 2.0: Training Home Assistants to Rearrange their Habitat NeurIPS 2021 Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls JMLR 2021 Haptics-based Curiosity for Sparse-reward Tasks CoRL 2021 Heuristic-Guided Reinforcement Learning NeurIPS 2021 Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph CVPR 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots CoRL 2021 Hierarchical Neural Dynamic Policies RSS 2021 Hierarchical Object-to-Zone Graph for Object Navigation ICCV 2021 Hierarchical Reinforcement Learning by Discovering Intrinsic Options ICLR 2021 Hierarchical Reinforcement Learning for Integrated Recommendation AAAI 2021 Hierarchical Reinforcement Learning with Timed Subgoals NeurIPS 2021