state space

Partitioning Techniques in LTLf Synthesis IJCAI 2019 Analyzing Tie-Breaking Strategies for the A* Algorithm IJCAI 2018 Best-Case and Worst-Case Behavior of Greedy Best-First Search IJCAI 2018 Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems ACML 2018 Estimation of Markov Chain via Rank-Constrained Likelihood ICML 2018 Active Exploration for Learning Symbolic Representations NeurIPS 2017 A Laplacian Framework for Option Discovery in Reinforcement Learning ICML 2017 Purely Declarative Action Descriptions are Overrated: Classical Planning with Simulators IJCAI 2017 Efficient state-space modularization for planning: theory, behavioral and neural signatures NeurIPS 2016 Filtering with Abstract Particles ICML 2014 Computing the Stationary Distribution Locally NeurIPS 2013 Transferring Expectations in Model-based Reinforcement Learning NeurIPS 2012 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Blind Source Recovery: A Framework in the State Space JMLR 2003