Reinforcement Learning

Hyperbolic Deep Reinforcement Learning ICLR 2023 I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons ACL 2023 Improving Deep Policy Gradients with Value Function Search ICLR 2023 Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023 Inverse Reinforcement Learning for Text Summarization EMNLP 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning EMNLP 2023 Language Instructed Reinforcement Learning for Human-AI Coordination ICML 2023 LapGym - An Open Source Framework for Reinforcement Learning in Robot-Assisted Laparoscopic Surgery JMLR 2023 Large Language Models can Implement Policy Iteration NeurIPS 2023 Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023 Learning Generalizable Agents via Saliency-guided Features Decorrelation NeurIPS 2023 Learning Optimal Policy for Simultaneous Machine Translation via Binary Search ACL 2023 Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping NeurIPS 2023 Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning ACL 2023 Learning to Influence Human Behavior with Offline Reinforcement Learning NeurIPS 2023 Learning to Play General-Sum Games against Multiple Boundedly Rational Agents AAAI 2023 Learning to Rank Generation with Pairwise Partial Rewards EMNLP 2023 Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Model-Based Simulation for Optimising Smart Reply ACL 2023