Deep RL

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 Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 Reinforcement Learning via Auxillary Task Distillation ECCV 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 with Lookahead Information NeurIPS 2024 Reinforcement Learning with LTL and ω-Regular Objectives via Optimality-Preserving Translation to Average Rewards NeurIPS 2024 ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem IJCAI 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 RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation ACL 2024 Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024 ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NeurIPS 2024 Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity NeurIPS 2024 Rethinking Transformers in Solving POMDPs ICML 2024 REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes ICLR 2024 Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency ICLR 2024 Revisiting Data Augmentation in Deep Reinforcement Learning ICLR 2024 Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning ICML 2024