Deep RL

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 Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NeurIPS 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 2024 Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 EgoGen: An Egocentric Synthetic Data Generator CVPR 2024 Embarrassingly Parallel GFlowNets ICML 2024 Embedding-Aligned Language Models NeurIPS 2024 Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld CVPR 2024 Emergence of In-Context Reinforcement Learning from Noise Distillation ICML 2024 EmpCRL: Controllable Empathetic Response Generation via In-Context Commonsense Reasoning and Reinforcement Learning COLING 2024 Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NeurIPS 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Policy Gradient Algorithms with Search in Imperfect Information Games IJCAI 2024 Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding ACL 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Entity-Centric Reinforcement Learning for Object Manipulation from Pixels ICLR 2024 Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning NeurIPS 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024 ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024 EROS:Entity-Driven Controlled Policy Document Summarization COLING 2024 EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving CoRL 2024