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most citedNeural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective

2 citations · 3 across the 5 of their papers we have counts for

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cs.LG2023

PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping

Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho +1

Proximal Policy Optimization algorithm employing a clipped surrogate objective (PPO-Clip) is a prominent exemplar of the policy optimization methods. However, despite its remarkabl…

cs.LG2021★ 2 cited

Neural PPO-Clip Attains Global Optimality: A Hinge Loss Perspective

Nai-Chieh Huang, Ping-Chun Hsieh, Kuo-Hao Ho +4

Policy optimization is a fundamental principle for designing reinforcement learning algorithms, and one example is the proximal policy optimization algorithm with a clipped surroga…