Reinforcement Learning

Mutual Information State Intrinsic Control ICLR 2021 Navigating to the Best Policy in Markov Decision Processes NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System L4DC 2021 Neural Algorithmic Reasoners are Implicit Planners NeurIPS 2021 Neural Lyapunov Redesign L4DC 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021 Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling AAAI 2021 Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement Learning IJCAI 2021 Nonmyopic Multifidelity Acitve Search ICML 2021 Non-Stationary Off-Policy Optimization AISTATS 2021 No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 Objective Bound Conditional Gaussian Process for Bayesian Optimization ICML 2021 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NeurIPS 2021 Offline Contextual Bandits with Overparameterized Models ICML 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021 Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NeurIPS 2021 On exploration requirements for learning safety constraints L4DC 2021 On Joint Learning for Solving Placement and Routing in Chip Design NeurIPS 2021 Online 3D Bin Packing with Constrained Deep Reinforcement Learning AAAI 2021 Online Model Selection for Reinforcement Learning with Function Approximation AISTATS 2021