#python #3d_printing #ai #artificial_intelligence #openai_gym #openai_gym_environments #pybullet #python3 #quadruped_robots #reinforcement_learning #reinforcement_learning_algorithms #robotics #slam #tensorflow

https://github.com/nicrusso7/rex-gym

#python #a2c #advantage_actor_critic #ddpg #deep_deterministic_policy_gradient #deep_q_learning #deep_reinforcement_learning #dqn #dqn_pytorch #ppo #proximal_policy_optimization #reinforcement_learning #reinforcement_learning_algorithms #sac #soft_actor_critic

https://github.com/cpnota/autonomous-learning-library

#python #baselines #gym #machine_learning #openai #pytorch #reinforcement_learning #reinforcement_learning_algorithms #robotics #sde #stable_baselines #toolbox

https://github.com/DLR-RM/stable-baselines3

#python #baselines #gsde #gym #machine_learning #openai #python #pytorch #reinforcement_learning #reinforcement_learning_algorithms #robotics #sb3 #sde #stable_baselines #toolbox

Stable Baselines3 (SB3) is a tool that makes it easy to use reinforcement learning algorithms with PyTorch. It provides reliable and tested implementations of these algorithms, which helps researchers and developers build projects quickly. SB3 offers many features like custom environments, policies, and integration with other tools like Tensorboard and Hugging Face. It also has detailed documentation and examples to help beginners get started. This tool assumes you have some knowledge of reinforcement learning but provides resources to learn more. Using SB3 can save time and effort by providing a stable base for your projects, allowing you to focus on new ideas and improvements.

https://github.com/DLR-RM/stable-baselines3