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20182021
most citedReinforcement Learning Trajectory Generation and Control for Aggressive Perching on Vertical Walls with Quadrotors

2 citations · 6 across the 4 of their papers we have counts for

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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…

cs.LG2019★ 1 cited

Towards Combining On-Off-Policy Methods for Real-World Applications

Kai-Chun Hu, Chen-Huan Pi, Ting Han Wei +4

In this paper, we point out a fundamental property of the objective in reinforcement learning, with which we can reformulate the policy gradient objective into a perceptron-like lo…