Simple continuous environment with spaceship but yet challenging for RL algorithms (like SAC, TD3)

This page summarizes the projects mentioned and recommended in the original post on /r/reinforcementlearning

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  • space-gym

    Challenging reinforcement learning environments with locomotion tasks in space

  • In case you want to take a look the envs are published here https://github.com/MIMUW-RL/space-gym

  • rl-baselines3-zoo

    A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  • Try hyperparameter search. It's implemented here: https://github.com/DLR-RM/rl-baselines3-zoo for stable-baselines3. Hyperparameters make a huge difference in RL, much more than in supervised learning.

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  • alf

    Agent Learning Framework https://alf.readthedocs.io

  • Check out Alf examples

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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