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cs.LG2023
Diverse Policies Converge in Reward-free Markov Decision Processe
Fanqi Lin, Shiyu Huang, Weiwei Tu
Reinforcement learning has achieved great success in many decision-making tasks, and traditional reinforcement learning algorithms are mainly designed for obtaining a single optima…
cs.LG2022★ 1 cited
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wentse Chen, Shiyu Huang, Yuan Chiang +4
Most reinforcement learning algorithms seek a single optimal strategy that solves a given task. However, it can often be valuable to learn a diverse set of solutions, for instance,…