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Implementation of Proximal Policy Optimization algorithm on a custom Unity environment.

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Hello @dhyeythumar Sir, I've trained the agent using following command mlagents-learn config/trainer_config.yaml --env=E:\PPO-algo-with-custom-Unity-environment\rl_env_binary\Windows_build\Learning-Agents--r1 --run-id=Run1 --num-envs=4 It was trained succesfully and saved the model and checkpoints in the below folder structure...

Similar to this work I was creating my Unity platform and training using python API. Somehow, my agents are not training well so I turned up here. I tried to...

bug