markov decision process

Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019 Real-Time Reinforcement Learning NeurIPS 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NeurIPS 2019 Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NeurIPS 2019 Reinforcement Learning under Threats AAAI 2019 Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach AAAI 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Steady-State Policy Synthesis for Verifiable Control IJCAI 2019 Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NeurIPS 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Variational Regret Bounds for Reinforcement Learning UAI 2019 VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019 Worst-Case Regret Bounds for Exploration via Randomized Value Functions NeurIPS 2019 Action-Constrained Markov Decision Processes With Kullback-Leibler Cost COLT 2018 A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation COLT 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018