Methods

Multiagent Q-learning with Sub-Team Coordination NeurIPS 2022 Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter AAAI 2022 Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method IJCAI 2022 Multi-Agent Reinforcement Learning is a Sequence Modeling Problem NeurIPS 2022 Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic AAAI 2022 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Multi-Constraint Deep Reinforcement Learning for Smooth Action Control IJCAI 2022 Multi-Critic Actor Learning: Teaching RL Policies to Act with Style ICLR 2022 Multi-Game Decision Transformers NeurIPS 2022 Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch IJCAI 2022 Multi-Robot Active Mapping via Neural Bipartite Graph Matching CVPR 2022 Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning AAAI 2022 Multi-Stage Episodic Control for Strategic Exploration in Text Games ICLR 2022 Myriad: a real-world testbed to bridge trajectory optimization and deep learning NeurIPS 2022 Natural Black-Box Adversarial Examples against Deep Reinforcement Learning AAAI 2022 Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation AISTATS 2022 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022 Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path ICML 2022 Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NeurIPS 2022 Near Optimality of Finite Memory Feedback Policies in Partially Observed Markov Decision Processes JMLR 2022 Near-Optimal Multi-Agent Learning for Safe Coverage Control NeurIPS 2022 Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism ICLR 2022 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes NeurIPS 2022