Deep RL

State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 State-wise safe reinforcement learning with pixel observations L4DC 2024 Statistical Efficiency of Distributional Temporal Difference Learning NeurIPS 2024 Stealthy Imitation: Reward-guided Environment-free Policy Stealing ICML 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Stochastic Q-learning for Large Discrete Action Spaces ICML 2024 Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles AAAI 2024 Stop Regressing: Training Value Functions via Classification for Scalable Deep RL ICML 2024 Stress-Testing Capability Elicitation With Password-Locked Models NeurIPS 2024 Subgoal-based Demonstration Learning for Formal Theorem Proving ICML 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 Synthesizing Programmatic Policy for Generalization within Task Domain IJCAI 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024 TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling COLING 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 TaxoCritic: Exploring Credit Assignment in Taxonomy Induction with Multi-Critic Reinforcement Learning COLING 2024 TD-MPC2: Scalable, Robust World Models for Continuous Control ICLR 2024 TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint) AAAI 2024 Temporal-Difference Learning Using Distributed Error Signals NeurIPS 2024 Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning NeurIPS 2024 Text-Aware Diffusion for Policy Learning NeurIPS 2024