optimal policy

The Gambler's Problem and Beyond ICLR 2020 Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model NeurIPS 2019 Determinantal Reinforcement Learning AAAI 2019 Exploration Conscious Reinforcement Learning Revisited ICML 2019 Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NeurIPS 2019 Optimal Policies for Observing Time Series and Related Restless Bandit Problems JMLR 2019 Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NeurIPS 2019 Action-Constrained Markov Decision Processes With Kullback-Leibler Cost COLT 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 Normal Bandits of Unknown Means and Variances JMLR 2018 Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018 A Scalable Approach to Chasing Multiple Moving Targets with Multiple Agents IJCAI 2017 DPSCREEN: Dynamic Personalized Screening NeurIPS 2017 Fairness in Reinforcement Learning ICML 2017 Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics RSS 2017 Learning Robot Objectives from Physical Human Interaction CoRL 2017 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies COLT 2016 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Optimizing Instructional Policies NeurIPS 2013 Online Regret Bounds for Undiscounted Continuous Reinforcement Learning NeurIPS 2012 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 A rational decision making framework for inhibitory control NeurIPS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010