Reinforcement Learning

Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences ICML 2024 Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively AAAI 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Reward Shaping for Reinforcement Learning with An Assistant Reward Agent ICML 2024 RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NeurIPS 2024 RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation ICML 2024 Rich Human Feedback for Text-to-Image Generation CVPR 2024 Rich-Observation Reinforcement Learning with Continuous Latent Dynamics ICML 2024 RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation CVPR 2024 RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences ICML 2024 Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient ICML 2024 RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion RSS 2024 RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback ICML 2024 RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning ICML 2024 RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving AAAI 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NeurIPS 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024