Takayuki Osa

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets

Resource-Efficient Model-Free Reinforcement Learning for Board Games

Harnessing Bayesian Optimism with Dual Policies in Reinforcement Learning

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning

Annealed Implicit Q-learning in Online Reinforcement Learning