Search Results for author: Byungmoon Kim

Found 5 papers, 0 papers with code

Proximal Policy Gradient: PPO with Policy Gradient

no code implementations20 Oct 2020 Ju-Seung Byun, Byungmoon Kim, Huamin Wang

In this paper, we propose a new algorithm PPG (Proximal Policy Gradient), which is close to both VPG (vanilla policy gradient) and PPO (proximal policy optimization).

OpenAI Gym

PaintBot: A Reinforcement Learning Approach for Natural Media Painting

no code implementations3 Apr 2019 Biao Jia, Chen Fang, Jonathan Brandt, Byungmoon Kim, Dinesh Manocha

Action selection is guided by a given reference image, which the agent attempts to replicate subject to the limitations of the action space and the agent's learned policy.


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