Search Results for author: Mario S. Holubar

Found 1 papers, 1 papers with code

Continuous-action Reinforcement Learning for Playing Racing Games: Comparing SPG to PPO

1 code implementation15 Jan 2020 Mario S. Holubar, Marco A. Wiering

Different versions of two actor-critic learning algorithms are tested on this environment: Sampled Policy Gradient (SPG) and Proximal Policy Optimization (PPO).

OpenAI Gym reinforcement-learning +1

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