Applications

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning NeurIPS 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 Going Beyond Linear Transformers with Recurrent Fast Weight Programmers NeurIPS 2021 GRAC: Self-Guided and Self-Regularized Actor-Critic CoRL 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 for Integrated Recommendation AAAI 2021 Hierarchical Skills for Efficient Exploration NeurIPS 2021 Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning AISTATS 2021 Hindsight Trust Region Policy Optimization IJCAI 2021 History Aware Multimodal Transformer for Vision-and-Language Navigation NeurIPS 2021 Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation NeurIPS 2021