Reinforcement Learning

Multi-Agent Language Learning: Symbolic Mapping ACL 2023 Multi-behavior Session-based Recommendation via Graph Reinforcement Learning ACML 2023 Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward EMNLP 2023 Neural Episodic Control with State Abstraction ICLR 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NeurIPS 2023 Neural Simulated Annealing AISTATS 2023 Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 Off-Policy Proximal Policy Optimization AAAI 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023 Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms ICLR 2023 PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations CVPR 2023 Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning NeurIPS 2023 PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction AAAI 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Policy Adaptation From Foundation Model Feedback CVPR 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control NeurIPS 2023 PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter EMNLP 2023 Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models EMNLP 2023 Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023 Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023 Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning NeurIPS 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023