Deep RL

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation AAAI 2024 Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games AISTATS 2024 Evaluating Transformer-Enhanced Deep Reinforcement Learning for Speech Emotion Recognition Interspeech 2024 Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 EvIL: Evolution Strategies for Generalisable Imitation Learning ICML 2024 Evolutionary Reward Design and Optimization with Multimodal Large Language Models ACL 2024 Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NeurIPS 2024 Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment CLeaR 2024 Experience as Source for Anticipation and Planning: Experiential Policy Learning for Target-driven Recommendation Dialogues EMNLP 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NeurIPS 2024 Exploration and Anti-Exploration with Distributional Random Network Distillation ICML 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations AAAI 2024 EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning EACL 2024 Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL ACML 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NeurIPS 2024 FactorSim: Generative Simulation via Factorized Representation NeurIPS 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 Fast Imitation via Behavior Foundation Models ICLR 2024 Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024 Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NeurIPS 2024 Feasible Q-Learning for Average Reward Reinforcement Learning AISTATS 2024