Methods

Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs NeurIPS 2021 Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic ACML 2021 Multitasking Inhibits Semantic Drift NAACL 2021 Multi-Task Reinforcement Learning with Context-based Representations ICML 2021 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning ICML 2021 MushroomRL: Simplifying Reinforcement Learning Research JMLR 2021 Mutual Information State Intrinsic Control ICLR 2021 Navigating to the Best Policy in Markov Decision Processes NeurIPS 2021 Nearly Horizon-Free Offline Reinforcement Learning NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021 Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NeurIPS 2021 Near Optimal Policy Optimization via REPS NeurIPS 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Near-Optimal Representation Learning for Linear Bandits and Linear RL ICML 2021 Near Optimal Reward-Free Reinforcement Learning ICML 2021 Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021 Neural Algorithmic Reasoners are Implicit Planners NeurIPS 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Neural optimal feedback control with local learning rules NeurIPS 2021 Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021 Neuro-Symbolic Reinforcement Learning with First-Order Logic EMNLP 2021 NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL NeurIPS 2021