Reinforcement Learning

Distributionally Robust Q-Learning ICML 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies NeurIPS 2022 Distributional Reinforcement Learning with Monotonic Splines ICLR 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NeurIPS 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body NeurIPS 2022 DNA: Proximal Policy Optimization with a Dual Network Architecture NeurIPS 2022 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022 Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks IJCAI 2022 Do Differentiable Simulators Give Better Policy Gradients? ICML 2022 Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? NeurIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NeurIPS 2022 Don’t Copy the Teacher: Data and Model Challenges in Embodied Dialogue EMNLP 2022 Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning CoRL 2022 Don’t Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning IJCAI 2022 DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning NeurIPS 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NeurIPS 2022 Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization ICLR 2022 DreamShard: Generalizable Embedding Table Placement for Recommender Systems NeurIPS 2022 DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck ICML 2022 Dropout Q-Functions for Doubly Efficient Reinforcement Learning ICLR 2022 Dungeons and Data: A Large-Scale NetHack Dataset NeurIPS 2022 Dynamic Dialogue Policy for Continual Reinforcement Learning COLING 2022