Tutte le verità sono facili da capire una volta che sono state rivelate. Il difficile è scoprile. (All truths are easy to understand once they are discovered. The point is to discover them.)
Galileo Galilei, 1564-1642
PhD Thesis
Exploration–exploitation dilemma in Reinforcement Learning under various form of prior knowledge, November 6th 2019, Inria Lille, France [PDF]
Conference Papers
- Ronald Ortner, Matteo Pirotta, Alessandro Lazaric, Ronan Fruit, Odalric Maillard
Regret Bounds for Learning State Representations in Reinforcement Learning
NeurIPS 2019, Vancouver, Canada. [PDF]
Note: Unfortunately, the proofs of the regret bounds for the schemes given in Sections 5 and 6.2 (when guessing the diameter resp. the size of the state space) have a gap that seems not easy to close. The other results are however not affected. - Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Markov Decision Processes
NeurIPS 2019, Vancouver, Canada. [PDF, poster] - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes.
NeurIPS 2018, Montreal, Canada. [PDF, Poster, Presentation (00:20:45)] - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric,Ronald Ortner:
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning.
ICML 2018, Stockholm, Sweden. [PDF, Poster, Presentation (01:03:00)] - Ronan Fruit, Matteo Pirotta, Alessandro Lazaric, Emma Brunskill:
Regret Minimization in MDPs with Options without Prior Knowledge.
NeurIPS 2017, Long Beach, California, USA. [PDF, Poster, Presentation] - Ronan Fruit, Alessandro Lazaric:
Exploration–Exploitation in MDPs with Options.
AISTATS 2017, Fort Lauderdale, Florida, USA. [PDF, Poster]
Workshop Papers
- Ronan Fruit, Matteo Pirotta, Alessandro Lazaric and Emma Brunskill:
Regret Minimization in MDPs with Options without Prior Knowledge.
Lifelong Learning: A Reinforcement Learning Approach, ICML 2017 Workshop, Sydney, Australia. [PDF] - Ronan Fruit and Alessandro Lazaric:
Exploration–Exploitation in MDPs with Options.
EWRL 2016, Barcelona, Spain. [PDF, Presentation]
Visit and Talks
- Together with Alessandro Lazaric and Matteo Pirotta, I gave a tutorial at ALT 2019 on exploration-exploitation in RL [website of the tutorial]
- Visit and talk at Stanford Artificial Intelligence Lab, June 2017 [Slides]
- Visit at the Computer Science Department of CMU, October 2016
Program Committees
- I was a reviewer for NeurIPS 2020.
- I was a reviewer for ICML 2020.
- I was a reviewer for NeurIPS 2019. I was one of the Best Reviewers [see the list here].
- I was a reviewer for ICML 2019.
- Together with Matteo Pirotta, Florian Strub and Mathieu Seurin, I organized the 14th edition of the European Workshop on Reinforcement Learning (EWRL) in Lille.