Reinforcement Learning

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation NAACL 2024 Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation Interspeech 2024 Reinforcement Learning from Diverse Human Preferences IJCAI 2024 Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance ICML 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer NeurIPS 2024 Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity NeurIPS 2024 Reinforcement Learning via Auxillary Task Distillation ECCV 2024 Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems NeurIPS 2024 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NeurIPS 2024 Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CoRL 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Reinforcement Learning with Lookahead Information NeurIPS 2024 Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards NeurIPS 2024 Reinforcement Nash Equilibrium Solver IJCAI 2024 ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem IJCAI 2024 Reinformer: Max-Return Sequence Modeling for Offline RL ICML 2024 Relating Hopfield Networks to Episodic Control NeurIPS 2024 Relative Policy-Transition Optimization for Fast Policy Transfer AAAI 2024 Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024 ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages ICML 2024 ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models ICML 2024 Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making ICML 2024 ReMix: Optimizing Data Mixtures for Large Scale Imitation Learning CoRL 2024 Render and Diffuse: Aligning Image and Action Spaces for Diffusion-based Behaviour Cloning RSS 2024