Reinforcement Learning

TEACh: Task-Driven Embodied Agents That Chat AAAI 2022 Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL UAI 2022 Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification CVPR 2022 Temporal Difference Learning for Model Predictive Control ICML 2022 Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations CoRL 2022 Text-Based Interactive Recommendation via Offline Reinforcement Learning AAAI 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 The Geometry of Robust Value Functions ICML 2022 The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning NeurIPS 2022 The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022 The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NeurIPS 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 The Phenomenon of Policy Churn NeurIPS 2022 The Pitfalls of Regularization in Off-Policy TD Learning NeurIPS 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 The Primacy Bias in Deep Reinforcement Learning ICML 2022 The Role of Baselines in Policy Gradient Optimization NeurIPS 2022 The Role of Pretrained Representations for the OOD Generalization of RL Agents ICLR 2022 The State of Sparse Training in Deep Reinforcement Learning ICML 2022 The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games NeurIPS 2022 “Think Before You Speak”: Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs IJCAI 2022 Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation CVPR 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling Efficiently Learns to Control Diffusion Processes NeurIPS 2022 Tianshou: A Highly Modularized Deep Reinforcement Learning Library JMLR 2022