conftrace_

markov decision process

790 papers

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Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019
The Value Function Polytope in Reinforcement Learning ICML 2019
A Theory of Regularized Markov Decision Processes ICML 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection IJCAI 2019
Automated Negotiation with Gaussian Process-based Utility Models IJCAI 2019
Multi-Robot Planning Under Uncertain Travel Times and Safety Constraints IJCAI 2019
Model-Free Model Reconciliation IJCAI 2019
Per-Decision Option Discounting ICML 2019
Solving Continual Combinatorial Selection via Deep Reinforcement Learning IJCAI 2019
Online Convex Optimization in Adversarial Markov Decision Processes ICML 2019
Learning to Collaborate in Markov Decision Processes ICML 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019
Optimizing over a Restricted Policy Class in MDPs AISTATS 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NIPS 2019
Planning in entropy-regularized Markov decision processes and games NIPS 2019
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NIPS 2019
Machine Teaching of Active Sequential Learners NIPS 2019
Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019
Provably Efficient Maximum Entropy Exploration ICML 2019
Exploration Conscious Reinforcement Learning Revisited ICML 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019