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Clarence W. de Silva — most-cited papers & profile · Reinforcement Learning
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Clarence W. de Silva
2
papers ·
6
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics
2019 · 5 citations
How does the structure embedded in learning policy affect learning quadruped locomotion?
2020 · 1 citations
Top co-authors
Kuangen Zhang
· 2
Zhimin Hou
· 2
and Chenglong Fu
· 1
Chenglong Fu
· 1
Haoyong Yu
· 1
Jongwoo Lee
· 1
Neville Hogan
· 1
Topics
Policy Gradient
Value-Based
Model-Based RL