Policy Learning

Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design ICML 2024 Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024 Emergence of In-Context Reinforcement Learning from Noise Distillation ICML 2024 End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations ICML 2024 Enhancing Alignment using Curriculum Learning & Ranked Preferences EMNLP 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning ICML 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning CoRL 2024 Equivariant Diffusion Policy CoRL 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NeurIPS 2024 Exploiting Careful Design of SVM Solution for Aspect-term Sentiment Analysis EMNLP 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024 Exterior Penalty Policy Optimization with Penalty Metric Network under Constraints IJCAI 2024 EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data CoRL 2024 F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation EMNLP 2024 Factored-Reward Bandits with Intermediate Observations ICML 2024 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 Feasible Reachable Policy Iteration ICML 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024