Deep RL

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 Mimicking Better by Matching the Approximate Action Distribution ICML 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 Mixtures of Experts Unlock Parameter Scaling for Deep RL ICML 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Model-Based Transfer Learning for Contextual Reinforcement Learning NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024 Model-Free Representation Learning and Exploration in Low-Rank MDPs JMLR 2024 Monte Carlo Tree Search in the Presence of Transition Uncertainty AAAI 2024 MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization EMNLP 2024 MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024 Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy ICML 2024 Multi-Reward Best Policy Identification NeurIPS 2024 Multi-world Model in Continual Reinforcement Learning AAAI 2024 MusicRL: Aligning Music Generation to Human Preferences ICML 2024 Natural Language-based State Representation in Deep Reinforcement Learning NAACL 2024 Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models EMNLP 2024 Near-continuous time Reinforcement Learning for continuous state-action spaces ALT 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 2024