Automated State Abstraction for Options using the U-Tree Algorithm. - Anders Jonsson 001; Andrew G. Barto (NIPS, 2000)

A causal approach to hierarchical decomposition of factored MDPs. - Anders Jonsson 001; Andrew G. Barto (ICML, 2005)

Coordination with Collective and Individual Decisions. - Paulo Trigo; Anders Jonsson 001; Helder Coelho (IBERAMIA-SBIA, 2006)

Causal Graph Based Decomposition of Factored MDPs. - Anders Jonsson 001; Andrew G. Barto (J. Mach. Learn. Res., 2006)

On the Hardness of Planning Problems with Simple Causal Graphs. - Omer Giménez; Anders Jonsson 001 (ICAPS, 2007)

Efficient Pruning of Operators in Planning Domains. - Anders Jonsson 001 (CAEPIA, 2007)

The Role of Macros in Tractable Planning over Causal Graphs. - Anders Jonsson 001 (IJCAI, 2007)

Active Learning of Dynamic Bayesian Networks in Markov Decision Processes. - Anders Jonsson 001; Andrew G. Barto (SARA, 2007)

In Search of the Tractability Boundary of Planning Problems. - Omer Giménez; Anders Jonsson 001 (ICAPS, 2008)

The Complexity of Planning Problems With Simple Causal Graphs. - Omer Giménez; Anders Jonsson 001 (J. Artif. Intell. Res., 2008)

The Influence of k-Dependence on the Complexity of Planning. - Omer Giménez; Anders Jonsson 001 (ICAPS, 2009)

Planning over Chain Causal Graphs for Variables with Domains of Size 5 Is NP-Hard. - Omer Giménez; Anders Jonsson 001 (J. Artif. Intell. Res., 2009)

The Role of Macros in Tractable Planning. - Anders Jonsson 001 (J. Artif. Intell. Res., 2009)

A learning approach to interactive browsing of surveillance content. - Anders Jonsson 001; Christophe Parisot; Christophe De Vleeschouwer (ICDSC, 2010)

Scaling Up Multiagent Planning: A Best-Response Approach. - Anders Jonsson 001; Michael Rovatsos (ICAPS, 2011)

Macros, Reactive Plans and Compact Representations. - Christer Bäckström; Anders Jonsson 001; Peter Jonsson (ECAI, 2012)

From Macro Plans to Automata Plans. - Christer Bäckström; Anders Jonsson 001; Peter Jonsson (ECAI, 2012)

The influence of k-dependence on the complexity of planning. - Omer Giménez; Anders Jonsson 001 (Artif. Intell., 2012)

Safe, Strong, and Tractable Relevance Analysis for Planning. - Patrik Haslum; Malte Helmert; Anders Jonsson 001 (ICAPS, 2013)

When Acyclicity Is Not Enough: Limitations of the Causal Graph. - Anders Jonsson 001; Peter Jonsson; Tomas Lööw (ICAPS, 2013)

A Single-Agent Approach to Multiagent Planning. - Matthew Crosby; Anders Jonsson 001; Michael Rovatsos (ECAI, 2014)

Probabilistic activity recognition in navigation. - Octavi Font; Guillem Francès; Anders Jonsson 001; Phil J. Bartie; William A. Mackaness (WPNC, 2014)

Limitations of acyclic causal graphs for planning. - Anders Jonsson 001; Peter Jonsson; Tomas Lööw (Artif. Intell., 2014)

Automaton Plans. - Christer Bäckström; Anders Jonsson 001; Peter Jonsson (J. Artif. Intell. Res., 2014)

Temporal Planning With Required Concurrency Using Classical Planning. - Sergio Jiménez Celorrio; Anders Jonsson 001; Héctor Palacios (ICAPS, 2015)

Computing Plans with Control Flow and Procedures Using a Classical Planner. - Sergio Jiménez Celorrio; Anders Jonsson 001 (SOCS, 2015)

Generalized Planning with Procedural Domain Control Knowledge. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (ICAPS, 2016)

Hierarchical Linearly-Solvable Markov Decision Problems. - Anders Jonsson 001; Vicenç Gómez (ICAPS, 2016)

Planning with Partially Specified Behaviors. - Javier Segovia-Aguas; Jonathan Ferrer-Mestres; Anders Jonsson 001 (CCIA, 2016)

Constructing Hierarchical Task Models Using Invariance Analysis. - Damir Lotinac; Anders Jonsson 001 (ECAI, 2016)

Hierarchical Finite State Controllers for Generalized Planning. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (IJCAI, 2016)

Automatic Generation of High-Level State Features for Generalized Planning. - Damir Lotinac; Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (IJCAI, 2016)

Unsupervised Classification of Planning Instances. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (ICAPS, 2017)

Intelligent Group Formation in Computer Supported Collaborative Learning Scripts. - Ishari Amarasinghe; Davinia Hernández Leo; Anders Jonsson 001 (ICALT, 2017)

Generating Context-Free Grammars using Classical Planning. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (IJCAI, 2017)

Towards Data Informed Group Formation Support Across Learning Spaces. - Ishari Amarasinghe; Davinia Hernández-Leo; Anders Jonsson 001 (MMLA-CrossLAK@LAK, 2017)

Implications of decentralized Q-learning resource allocation in wireless networks. - Francesc Wilhelmi; Boris Bellalta; Cristina Cano; Anders Jonsson 001 (PIMRC, 2017)

A unified view of entropy-regularized Markov decision processes. - Gergely Neu; Anders Jonsson 001; Vicenç Gómez (CoRR, 2017)

Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. - Antonio Bucchiarone; Daniel Furelos-Blanco; Anders Jonsson 001; Fahmida Khandokar; Monjur M. Mourshed (AAMAS, 2018)

CARPooL: Collective Adaptation using concuRrent PLanning. - Daniel Furelos-Blanco; Antonio Bucchiarone; Anders Jonsson 001 (AAMAS, 2018)

Dual-Kernel Online Reconstruction of Power Maps. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (GLOBECOM, 2018)

A Monte Carlo Tree Search Approach to Learning Decision Trees. - Cecília Nunes; Mathieu De Craene; Hélène Langet; Oscar Camara 001; Anders Jonsson 001 (ICMLA, 2018)

Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. - Emilia Gómez; Carlos Castillo 001; Vicky Charisi; Verónica Dahl; Gustavo Deco; Blagoj Delipetrev; Nicole Dewandre; Miguel Ángel González Ballester; Fabien Gouyon; José Hernández-Orallo; Perfecto Herrera; Anders Jonsson 001; et al. (CoRR, 2018)

Improving width-based planning with compact policies. - Miquel Junyent; Anders Jonsson 001; Vicenç Gómez (CoRR, 2018)

Computing Hierarchical Finite State Controllers With Classical Planning. - Javier Segovia-Aguas; Sergio Jiménez 003; Anders Jonsson 001 (J. Artif. Intell. Res., 2018)

Sustaining Continuous Collaborative Learning Flows in MOOCs: Orchestration Agent Approach. - Ishari Amarasinghe; Davinia Hernández-Leo; Kalpani Manathunga; Anders Jonsson 001 (J. Univers. Comput. Sci., 2018)

Solving Multiagent Planning Problems with Concurrent Conditional Effects. - Daniel Furelos-Blanco; Anders Jonsson 001 (AAAI, 2019)

Deep Policies for Width-Based Planning in Pixel Domains. - Miquel Junyent; Anders Jonsson 001; Vicenç Gómez (ICAPS, 2019)

Framing Lifelong Learning as Autonomous Deployment: Tune Once Live Forever. - Eneko Agirre; Anders Jonsson 001; Anthony Larcher (IWSDS, 2019)

Unsupervised-Learning Power Control for Cell-Free Wireless Systems. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (PIMRC, 2019)

Collaborative Spatial Reuse in wireless networks via selfish Multi-Armed Bandits. - Francesc Wilhelmi; Cristina Cano; Gergely Neu; Boris Bellalta; Anders Jonsson 001; Sergio Barrachina-Muñoz (Ad Hoc Networks, 2019)

Computing programs for generalized planning using a classical planner. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (Artif. Intell., 2019)

Potential and pitfalls of Multi-Armed Bandits for decentralized Spatial Reuse in WLANs. - Francesc Wilhelmi; Sergio Barrachina-Muñoz; Boris Bellalta; Cristina Cano; Anders Jonsson 001; Gergely Neu (J. Netw. Comput. Appl., 2019)

A review of generalized planning. - Sergio Jiménez Celorrio; Javier Segovia-Aguas; Anders Jonsson 001 (Knowl. Eng. Rev., 2019)

Data-informed design parameters for adaptive collaborative scripting in across-spaces learning situations. - Ishari Amarasinghe; Davinia Hernández-Leo; Anders Jonsson 001 (User Model. User Adapt. Interact., 2019)

Generalized Planning with Positive and Negative Examples. - Javier Segovia-Aguas; Sergio Jiménez 003; Anders Jonsson 001 (AAAI, 2020)

Induction of Subgoal Automata for Reinforcement Learning. - Daniel Furelos-Blanco; Mark Law; Alessandra Russo; Krysia Broda; Anders Jonsson 001 (AAAI, 2020)

Unsupervised-Learning Power Allocation for the Cell-Free Downlink. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (ICC Workshops, 2020)

Planning in Markov Decision Processes with Gap-Dependent Sample Complexity. - Anders Jonsson 001; Emilie Kaufmann; Pierre Ménard; Omar Darwiche Domingues; Edouard Leurent; Michal Valko (NeurIPS, 2020)

A Flexible Machine-Learning-Aware Architecture for Future WLANs. - Francesc Wilhelmi; Sergio Barrachina-Muñoz; Boris Bellalta; Cristina Cano; Anders Jonsson 001; Vishnu Ram (IEEE Commun. Mag., 2020)

Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning. - Simone Totaro; Ioannis Boukas; Anders Jonsson 001; Bertrand Cornélusse (CoRR, 2020)

Hierarchical reinforcement learning for efficient exploration and transfer. - Lorenzo Steccanella; Simone Totaro; Damien Allonsius; Anders Jonsson 001 (CoRR, 2020)

Learning decision trees through Monte Carlo tree search: An empirical evaluation. - Cecília Nunes; Mathieu De Craene; Hélène Langet; Oscar Camara 001; Anders Jonsson 001 (WIREs Data Mining Knowl. Discov., 2020)

Generalized Planning as Heuristic Search. - Javier Segovia-Aguas; Sergio Jiménez 003; Anders Jonsson 001 (ICAPS, 2021)

Hierarchical Width-Based Planning and Learning. - Miquel Junyent; Vicenç Gómez; Anders Jonsson 001 (ICAPS, 2021)

Improved Exploration in Factored Average-Reward MDPs. - Mohammad Sadegh Talebi; Anders Jonsson 001; Odalric Maillard (AISTATS, 2021)

Adaptive Reward-Free Exploration. - Emilie Kaufmann; Pierre Ménard; Omar Darwiche Domingues; Anders Jonsson 001; Edouard Leurent; Michal Valko (ALT, 2021)

Fast active learning for pure exploration in reinforcement learning. - Pierre Ménard; Omar Darwiche Domingues; Anders Jonsson 001; Emilie Kaufmann; Edouard Leurent; Michal Valko (ICML, 2021)

Fast Stochastic Kalman Gradient Descent for Reinforcement Learning. - Simone Totaro; Anders Jonsson 001 (L4DC, 2021)

Unsupervised Learning for Parametric Optimization. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (IEEE Commun. Lett., 2021)

Unsupervised Learning for Cellular Power Control. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (IEEE Commun. Lett., 2021)

Unsupervised Learning for C-RAN Power Control and Power Allocation. - Rasoul Nikbakht; Anders Jonsson 001; Angel Lozano (IEEE Commun. Lett., 2021)

Induction and Exploitation of Subgoal Automata for Reinforcement Learning. - Daniel Furelos-Blanco; Mark Law; Anders Jonsson 001; Krysia Broda; Alessandra Russo (J. Artif. Intell. Res., 2021)

Decision Tree Learning for Uncertain Clinical Measurements. - Cecília Nunes; Hélène Langet; Mathieu De Craene; Oscar Camara 001; Bart H. Bijnens; Anders Jonsson 001 (IEEE Trans. Knowl. Data Eng., 2021)

Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks. - Francesc Wilhelmi; Marc Carrascosa; Cristina Cano; Anders Jonsson 001; Vishnu Ram; Boris Bellalta (IEEE Wirel. Commun., 2021)

Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes. - Guillermo Infante; Anders Jonsson 001; Vicenç Gómez (AAAI, 2022)

Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract). - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (IJCAI, 2022)

Reinforcement Learning for Active Modality Selection During Diagnosis. - Gabriel Bernardino; Anders Jonsson 001; Filip Loncaric; Pablo-Miki Martí Castellote; Marta Sitges; Patrick Clarysse; Nicolas Duchateau (MICCAI (1), 2022)

State Representation Learning for Goal-Conditioned Reinforcement Learning. - Lorenzo Steccanella; Anders Jonsson 001 (ECML/PKDD (4), 2022)

Scaling-Up Generalized Planning as Heuristic Search with Landmarks. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Laura Sebastiá; Anders Jonsson 001 (SOCS, 2022)

Computing Programs for Generalized Planning as Heuristic Search. - Javier Segovia-Aguas; Sergio Jiménez 003; Anders Jonsson 001 (CoRR, 2022)

Exploration in Reward Machines with Low Regret. - Hippolyte Bourel; Anders Jonsson 001; Odalric-Ambrym Maillard; Mohammad Sadegh Talebi (AISTATS, 2023)

Hierarchical Representation Learning for Markov Decision Processes. - Lorenzo Steccanella; Simone Totaro; Anders Jonsson 001 (CoLLAs, 2023)

Hierarchies of Reward Machines. - Daniel Furelos-Blanco; Mark Law; Anders Jonsson 001; Krysia Broda; Alessandra Russo (ICML, 2023)

Provably Efficient Offline Reinforcement Learning in Regular Decision Processes. - Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (NeurIPS, 2023)

Understanding Multi-link Operation in Wi-Fi 7: Performance, Anomalies, and Solutions. - Marc Carrascosa-Zamacois; Giovanni Geraci; Lorenzo Galati-Giordano; Anders Jonsson 001; Boris Bellalta (PIMRC, 2023)

Performance and Coexistence Evaluation of IEEE 802.11be Multi-link Operation. - Marc Carrascosa-Zamacois; Lorenzo Galati-Giordano; Anders Jonsson 001; Giovanni Geraci; Boris Bellalta (WCNC, 2023)

Asymmetric Norms to Approximate the Minimum Action Distance. - Lorenzo Steccanella; Anders Jonsson 001 (CoRR, 2023)

Performance Evaluation of MLO for XR Streaming: Can Wi-Fi 7 Meet the Expectations? - Marc Carrascosa-Zamacois; Lorenzo Galati-Giordano; Francesc Wilhelmi; Gianluca Fontanesi; Anders Jonsson 001; Giovanni Geraci; Boris Bellalta (CAMAD, 2024)

Hierarchical Average-Reward Linearly-Solvable Markov Decision Processes. - Guillermo Infante; Anders Jonsson 001; Vicenç Gómez (ECAI, 2024)

Planning with a Learned Policy Basis to Optimally Solve Complex Tasks. - David Kuric; Guillermo Infante; Vicenç Gómez; Anders Jonsson 001; Herke van Hoof (ICAPS, 2024)

Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently. - Sergio Calo; Anders Jonsson 001; Gergely Neu; Ludovic Schwartz; Javier Segovia-Aguas (NeurIPS, 2024)

Generalized planning as heuristic search: A new planning search-space that leverages pointers over objects. - Javier Segovia-Aguas; Sergio Jiménez Celorrio; Anders Jonsson 001 (Artif. Intell., 2024)

Tractable Offline Learning of Regular Decision Processes. - Ahana Deb; Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (CoRR, 2024)

Provably Efficient Exploration in Reward Machines with Low Regret. - Hippolyte Bourel; Anders Jonsson 001; Odalric-Ambrym Maillard; Chenxiao Ma; Mohammad Sadegh Talebi (CoRR, 2024)

Spatial air quality prediction in urban areas via message passing. - Sergio Calo; Filippo Bistaffa; Anders Jonsson 001; Vicenç Gómez; Mar Viana (Eng. Appl. Artif. Intell., 2024)

Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics. - Ahana Deb; Roberto Cipollone 002; Anders Jonsson 001; Alessandro Ronca; Mohammad Sadegh Talebi (ICLR, 2025)

Toward Specialized Wireless Networks Using an ML-Driven Radio Interface. - Kamil Szczech; Maksymilian Wojnar; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; Dileepa Marasinghe; Nandana Rajatheva; Richard Combes; Francesc Wilhelmi; Anders Jonsson 001; Boris Bellalta (IEEE Access, 2025)

XR Streaming Performance With Wi-Fi 7 Multi-Link Operation. - Marc Carrascosa-Zamacois; Lorenzo Galati-Giordano; Francesc Wilhelmi; Gianluca Fontanesi; Anders Jonsson 001; Giovanni Geraci; Boris Bellalta (IEEE Open J. Commun. Soc., 2025)

Towards Specialized Wireless Networks Using an ML-Driven Radio Interface. - Kamil Szczech; Maksymilian Wojnar; Katarzyna Kosek-Szott; Krzysztof Rusek; Szymon Szott; Dileepa Marasinghe; Nandana Rajatheva; Richard Combes; Francesc Wilhelmi; Anders Jonsson 001; Boris Bellalta (CoRR, 2025)

Distances for Markov chains from sample streams. - Sergio Calo; Anders Jonsson 001; Gergely Neu; Ludovic Schwartz; Javier Segovia-Aguas (CoRR, 2025)

Learning The Minimum Action Distance. - Lorenzo Steccanella; Joshua B. Evans; Özgür Simsek; Anders Jonsson 001 (CoRR, 2025)