Reinforcement Learning

Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots CoRL 2024 Multimodal Diffusion Transformer: Learning Versatile Behavior from Multimodal Goals RSS 2024 Multi-Reward Best Policy Identification NeurIPS 2024 Multi-Task Interactive Robot Fleet Learning with Visual World Models CoRL 2024 Multi-world Model in Continual Reinforcement Learning AAAI 2024 MusicRL: Aligning Music Generation to Human Preferences ICML 2024 N-agent Ad Hoc Teamwork NeurIPS 2024 N-Agent Ad Hoc Teamwork IJCAI 2024 Nash Learning from Human Feedback 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 Navigating Uncertainty in Epidemic Contexts with Reinforcement Learning AAAI 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 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback ICML 2024 Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints ICML 2024 Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation ICLR 2024 NeoRL: Efficient Exploration for Nonepisodic RL NeurIPS 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems ICML 2024 NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation NeurIPS 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation NeurIPS 2024 Neural-Kernel Conditional Mean Embeddings ICML 2024 Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024