Reinforcement Learning

Statistical Rejection Sampling Improves Preference Optimization ICLR 2024 Step-level Value Preference Optimization for Mathematical Reasoning EMNLP 2024 Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles AAAI 2024 Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning NeurIPS 2024 Submodular Reinforcement Learning ICLR 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections EMNLP 2024 SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024 SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NeurIPS 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning AAAI 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Task Planning for Object Rearrangement in Multi-Room Environments AAAI 2024 TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation AISTATS 2024 Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning NeurIPS 2024 Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback EMNLP 2024 Text Diffusion with Reinforced Conditioning AAAI 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NeurIPS 2024 The Sample-Communication Complexity Trade-off in Federated Q-Learning NeurIPS 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AAAI 2024