Reinforcement Learning

Prospective Side Information for Latent MDPs ICML 2024 Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds L4DC 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes ICLR 2024 Provable local learning rule by expert aggregation for a Hawkes network AISTATS 2024 Provable Offline Preference-Based Reinforcement Learning ICLR 2024 Provable Partially Observable Reinforcement Learning with Privileged Information NeurIPS 2024 Provable Policy Gradient Methods for Average-Reward Markov Potential Games AISTATS 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NeurIPS 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization ICML 2024 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Provably Robust DPO: Aligning Language Models with Noisy Feedback ICML 2024 Provably Safe Online Multi-Agent Navigation in Unknown Environments CoRL 2024 Proximal Curriculum with Task Correlations for Deep Reinforcement Learning IJCAI 2024 Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning ICLR 2024 PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning IJCAI 2024 Pure-Past Action Masking AAAI 2024 Pursuing Overall Welfare in Federated Learning through Sequential Decision Making ICML 2024 Pushing the Limits of Cross-Embodiment Learning for Manipulation and Navigation RSS 2024 PUZZLES: A Benchmark for Neural Algorithmic Reasoning NeurIPS 2024 QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024