conftrace_

markov decision process

790 papers

Explore in graph

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

Monte-Carlo Graph Search: the Value of Merging Similar States ACML 2020
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects CORL 2020
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CORL 2020
Active Model Estimation in Markov Decision Processes UAI 2020
Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes COLT 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020
What can I do here? A Theory of Affordances in Reinforcement Learning ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020
Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020
Tightening Exploration in Upper Confidence Reinforcement Learning ICML 2020
Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020
Domain Adaptive Imitation Learning ICML 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020
Learning and Solving Regular Decision Processes IJCAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020
Reinforcement Learning When All Actions Are Not Always Available AAAI 2020
On the design of consequential ranking algorithms UAI 2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity NIPS 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NIPS 2020
Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020