markov decision process

Learning to Plan with Logical Automata RSS 2019 Leveraging Experience in Lazy Search RSS 2019 Machine Teaching of Active Sequential Learners NeurIPS 2019 Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards NeurIPS 2019 Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019 Model-Free Model Reconciliation IJCAI 2019 Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition ICCV 2019 Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints IJCAI 2019 Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NeurIPS 2019 Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NeurIPS 2019 No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking AAAI 2019 Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019 Online Convex Optimization in Adversarial Markov Decision Processes ICML 2019 Online Learning in Kernelized Markov Decision Processes AISTATS 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 On the Correctness and Sample Complexity of Inverse Reinforcement Learning NeurIPS 2019 Optimal Policies for Observing Time Series and Related Restless Bandit Problems JMLR 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Per-Decision Option Discounting ICML 2019 Performance Guarantees for Homomorphisms beyond Markov Decision Processes AAAI 2019 Planning in entropy-regularized Markov decision processes and games NeurIPS 2019 Planning with State Abstractions for Non-Markovian Task Specifications RSS 2019 Practical Two-Step Lookahead Bayesian Optimization NeurIPS 2019 Provably Efficient Maximum Entropy Exploration ICML 2019 Provably efficient RL with Rich Observations via Latent State Decoding ICML 2019