state abstraction

A Theory of State Abstraction for Reinforcement Learning AAAI 2019 Compact Representation of Value Function in Partially Observable Stochastic Games IJCAI 2019 Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies AAAI 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Planning with State Abstractions for Non-Markovian Task Specifications RSS 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018 Feudal Reinforcement Learning for Dialogue Management in Large Domains NAACL 2018 Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains IJCAI 2018 State Abstractions for Lifelong Reinforcement Learning ICML 2018 Near Optimal Behavior via Approximate State Abstraction ICML 2016 Abstraction Selection in Model-based Reinforcement Learning ICML 2015 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Causal Graph Based Decomposition of Factored MDPs JMLR 2006