Methods

Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path ICML 2023 Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023 Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023 Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023 Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023 NetHack is Hard to Hack NeurIPS 2023 Neural Collage Transfer: Artistic Reconstruction via Material Manipulation ICCV 2023 Neural Episodic Control with State Abstraction ICLR 2023 Neural Laplace Control for Continuous-time Delayed Systems AISTATS 2023 Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning NeurIPS 2023 Neural Q-learning for solving PDEs JMLR 2023 Neural Simulated Annealing AISTATS 2023 NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications NeurIPS 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design AAAI 2023 No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions NeurIPS 2023 ODE-based Recurrent Model-free Reinforcement Learning for POMDPs NeurIPS 2023 OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment NeurIPS 2023 Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement ICLR 2023 Offline Imitation Learning with Variational Counterfactual Reasoning NeurIPS 2023 Offline Learning in Markov Games with General Function Approximation ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage NeurIPS 2023