Reinforcement Learning

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 Q-Probe: A Lightweight Approach to Reward Maximization for Language Models ICML 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics ICML 2024 Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization ICML 2024 Quality-Diversity with Limited Resources ICML 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning ICLR 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 Q-value Regularized Transformer for Offline Reinforcement Learning ICML 2024 RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes RSS 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Random Latent Exploration for Deep Reinforcement Learning ICML 2024 RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NeurIPS 2024 Rapid Motor Adaptation for Robotic Manipulator Arms CVPR 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes ICML 2024 Rating-Based Reinforcement Learning AAAI 2024 READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning CVPR 2024 Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NeurIPS 2024 Real-world fluid directed rigid body control via deep reinforcement learning L4DC 2024 Reasoning with Latent Diffusion in Offline Reinforcement Learning ICLR 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR NeurIPS 2024