Gaspard Lambrechts - Google Scholar

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Co-authors

Damien ErnstProfessor of Electrical Engineering and Computer Science, ULiège - University of LiègeVerified email at ulg.ac.be
Adrien BollandUniversity of Liège, Montefiore instituteVerified email at uliege.be
Guillaume DrionULg/Brandeis UniversityVerified email at ulg.ac.be
Nicolas VecovenUniversity of LiègeVerified email at uliege.be
Florent De GeeterPhD student, Université de LiègeVerified email at uliege.be

Gaspard Lambrechts

Gaspard Lambrechts

University of Liège

Verified email at uliege.be - Homepage

Reinforcement Learning Machine Learning POMDP


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Recurrent networks, hidden states and beliefs in partially observable environments G Lambrechts, A Bolland, D Ernst Transactions on Machine Learning Research, 2022	7	2022
Informed POMDP: Leveraging Additional Information in Model-Based RL G Lambrechts, A Bolland, D Ernst ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023	5	2023
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning G Lambrechts, F De Geeter, N Vecoven, D Ernst, G Drion Neural Networks 166, 645-669, 2023	3	2023
Behind the Myth of Exploration in Policy Gradients A Bolland, G Lambrechts, D Ernst arXiv preprint arXiv:2402.00162, 2024		2024
Learning to Remember the Past by Learning to Predict the Future G Lambrechts VUB Reinforcement Learning Talks, 2023		2023
Belief states of POMDPs and internal states of recurrent RL agents: an empirical analysis of their mutual information G Lambrechts, A Bolland, D Ernst European Workshop on Reinforcement Learning, 2022		2022

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