Proximal Policy Optimization with Clojure and PyTorch
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Proximal Policy Optimization with Clojure and PyTorch
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Re: Proximal Policy Optimization with Clojure and PyTorch
#2A Clojure port of XinJingHao’s PPO implementation using libpython-clj2, PyTorch, and Quil. PPO is a reinforcement learning method which has become popular because it addresses the problem of stability. The PPO implementation is tested using the inverted pendulum problem.