markov decision process

Reinforcement Learning with Non-Markovian Rewards AAAI 2020 Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions AAAI 2020 Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret NeurIPS 2020 Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations NeurIPS 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NeurIPS 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning AAAI 2020 Stable Reinforcement Learning with Unbounded State Space L4DC 2020 Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes NeurIPS 2020 State-only Imitation with Transition Dynamics Mismatch ICLR 2020 The Gambler's Problem and Beyond ICLR 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020 Tightening Exploration in Upper Confidence Reinforcement Learning ICML 2020 Toward the Fundamental Limits of Imitation Learning NeurIPS 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 Value Preserving State-Action Abstractions AISTATS 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020 Active Exploration in Markov Decision Processes AISTATS 2019 Adaptive Optimization Framework for Control of Multi-Agent Systems AAAI 2019 A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019 Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NeurIPS 2019 A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NeurIPS 2019