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Guangyuan Wang

Stagiaire de recherche - McGill
Superviseur⋅e principal⋅e
Doina Precup
Sujets de recherche
Apprentissage par renforcement
Apprentissage profond
Théorie de l'apprentissage automatique
GitHub

Publications

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning
Haque Ishfaq
Guangyuan Wang
Mohammad Sami Nur Islam
Doina Precup
Existing actor-critic algorithms, which are popular for continuous control reinforcement learning (RL) tasks, suffer from poor sample effici… (voir plus)ency due to lack of principled exploration mechanism within them. Motivated by the success of Thompson sampling for efficient exploration in RL, we propose a novel model-free RL algorithm, Langevin Soft Actor Critic (LSAC), which prioritizes enhancing critic learning through uncertainty estimation over policy optimization. LSAC employs three key innovations: approximate Thompson sampling through distributional Langevin Monte Carlo (LMC) based
2025-01-22
ICLR.cc/2025/Conference (poster)
doi.org
openreview.net