Jonsson, Anders

35 publications

NeurIPS 2025 Distances for Markov Chains from Sample Streams Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas

ICLR 2025 Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics Ahana Deb, Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi

NeurIPS 2024 Bisimulation Metrics Are Optimal Transport Distances, and Can Be Computed Efficiently Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas

ICMLW 2024 Bisimulation Metrics Are Optimal Transport Distances, and Can Be Computed Efficiently Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas

NeurIPSW 2023 Asymmetric Norms to Approximate the Minimum Action Distance Lorenzo Steccanella, Anders Jonsson

AISTATS 2023 Exploration in Reward Machines with Low Regret Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi

CoLLAs 2023 Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella, Simone Totaro, Anders Jonsson

ICML 2023 Hierarchies of Reward Machines Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

NeurIPS 2023 Provably Efficient Offline Reinforcement Learning in Regular Decision Processes Roberto Cipollone, Anders Jonsson, Alessandro Ronca, Mohammad Sadegh Talebi

IJCAI 2022 Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract) Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson

ICMLW 2022 Exploration in Reward Machines with Low Regret Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard, Mohammad Sadegh Talebi

AAAI 2022 Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes Guillermo Infante, Anders Jonsson, Vicenç Gómez

ECML-PKDD 2022 State Representation Learning for Goal-Conditioned Reinforcement Learning Lorenzo Steccanella, Anders Jonsson

AISTATS 2021 Improved Exploration in Factored Average-Reward MDPs Mohammad Sadegh Talebi, Anders Jonsson, Odalric Maillard

ALT 2021 Adaptive Reward-Free Exploration Emilie Kaufmann, Pierre Ménard, Omar Darwiche Domingues, Anders Jonsson, Edouard Leurent, Michal Valko

ICML 2021 Fast Active Learning for Pure Exploration in Reinforcement Learning Pierre Menard, Omar Darwiche Domingues, Anders Jonsson, Emilie Kaufmann, Edouard Leurent, Michal Valko

L4DC 2021 Fast Stochastic Kalman Gradient Descent for Reinforcement Learning Simone Totaro, Anders Jonsson

JAIR 2021 Induction and Exploitation of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo

AAAI 2020 Generalized Planning with Positive and Negative Examples Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

ICMLW 2020 Hierarchical Reinforcement Learning for Efficent Exploration and Transfer Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson

AAAI 2020 Induction of Subgoal Automata for Reinforcement Learning Daniel Furelos-Blanco, Mark Law, Alessandra Russo, Krysia Broda, Anders Jonsson

NeurIPS 2020 Planning in Markov Decision Processes with Gap-Dependent Sample Complexity Anders Jonsson, Emilie Kaufmann, Pierre Menard, Omar Darwiche Domingues, Edouard Leurent, Michal Valko

AAAI 2019 Solving Multiagent Planning Problems with Concurrent Conditional Effects Daniel Furelos-Blanco, Anders Jonsson

JAIR 2018 Computing Hierarchical Finite State Controllers with Classical Planning Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson

IJCAI 2017 Generating Context-Free Grammars Using Classical Planning Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson

IJCAI 2016 Automatic Generation of High-Level State Features for Generalized Planning Damir Lotinac, Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson

IJCAI 2016 Hierarchical Finite State Controllers for Generalized Planning Javier Segovia-Aguas, Sergio Jiménez Celorrio, Anders Jonsson

JAIR 2014 Automaton Plans Christer Bäckström, Anders Jonsson, Peter Jonsson

JAIR 2009 Planning over Chain Causal Graphs for Variables with Domains of Size 5 Is NP-Hard Omer Giménez, Anders Jonsson

JAIR 2009 The Role of Macros in Tractable Planning Anders Jonsson

JAIR 2008 The Complexity of Planning Problems with Simple Causal Graphs Omer Giménez, Anders Jonsson

IJCAI 2007 The Role of Macros in Tractable Planning over Causal Graphs Anders Jonsson

JMLR 2006 Causal Graph Based Decomposition of Factored MDPs Anders Jonsson, Andrew Barto

ICML 2005 A Causal Approach to Hierarchical Decomposition of Factored MDPs Anders Jonsson, Andrew G. Barto

NeurIPS 2000 Automated State Abstraction for Options Using the U-Tree Algorithm Anders Jonsson, Andrew G. Barto