Anders Jonsson
19 papers · 2006–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Grand Slam
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Keyword Trendsetter Combo
(3)
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Keyword Pioneer
π§¬
Topic Evolution
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Conference Pioneer
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(80)
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(10)
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(8)
Methods
(8)
Optimization & Theory
(8)
Learning Types Β· Machine Learning
(5)
Applications
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Optimization
(2)
Reasoning
(2)
Deep Learning
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
sample complexity
(5)
automated planning
(3)
reinforcement learning
(2)
regular decision process
(2)
hierarchical reinforcement learning
(2)
reward-free exploration
(2)
classical planning
(2)
reward machine
(2)
offline reinforcement learning
(2)
generalized planning
(2)
policy optimization
(2)
markov decision process
(2)
best-policy identification
(2)
automata learning
(2)
grammar inference
(1)
transfer learning
(1)
program synthesis
(1)
policy learning
(1)
stochastic gradient descent
(1)
optimal transport
(1)
Papers
Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics
ICLR 2025
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
NeurIPS 2024
Exploration in Reward Machines with Low Regret
AISTATS 2023
Hierarchies of Reward Machines
ICML 2023
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes
NeurIPS 2023
Computing Programs for Generalized Planning as Heuristic Search (Extended Abstract)
IJCAI 2022
Globally Optimal Hierarchical Reinforcement Learning for Linearly-Solvable Markov Decision Processes
AAAI 2022
Adaptive Reward-Free Exploration
ALT 2021
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning
L4DC 2021
Improved Exploration in Factored Average-Reward MDPs
AISTATS 2021
Generalized Planning with Positive and Negative Examples
AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning
AAAI 2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
NeurIPS 2020
Solving Multiagent Planning Problems with Concurrent Conditional Effects
AAAI 2019
Generating Context-Free Grammars using Classical Planning
IJCAI 2017
Automatic Generation of High-Level State Features for Generalized Planning
IJCAI 2016
Hierarchical Finite State Controllers for Generalized Planning
IJCAI 2016
Causal Graph Based Decomposition of Factored MDPs
JMLR 2006