Reinforcement Learning

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 Rating-Based Reinforcement Learning AAAI 2024 Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NeurIPS 2024 Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths EMNLP 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Recent Advancements in Inverse Reinforcement Learning AAAI 2024 Recurrent Reinforcement Learning with Memoroids NeurIPS 2024 Recursive Introspection: Teaching Language Model Agents How to Self-Improve NeurIPS 2024 Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes AAAI 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis AAAI 2024 Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation AAAI 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024 Reinforcement learning-driven parametric curve fitting for snake robot gait design L4DC 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Reinforcement Learning with Lookahead Information NeurIPS 2024 Reinforcement Learning with Token-level Feedback for Controllable Text Generation NAACL 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 Resilient Constrained Reinforcement Learning AISTATS 2024 Response Enhanced Semi-supervised Dialogue Query Generation AAAI 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024