Reinforcement Learning

Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation COLING 2024 Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling L4DC 2024 DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NeurIPS 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024 EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer NeurIPS 2024 Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision NeurIPS 2024 ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance ICML 2024 Effect-Invariant Mechanisms for Policy Generalization JMLR 2024 Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning ICML 2024 Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NeurIPS 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Constraint Generation for Stochastic Shortest Path Problems AAAI 2024 Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning NeurIPS 2024 Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning ICLR 2024 Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling ICML 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction UAI 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Efficient Offline Meta-Reinforcement Learning via Robust Task Representations and Adaptive Policy Generation IJCAI 2024 Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design ICML 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024