PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
May 25, 2024 - Python
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Snake game environment integrated with OpenAI Gym. Proximal Policy Optimization (PPO) implementation for training. Visualization of training progress and agent performance. Easy to understand code.
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
The code release of "Real-time Active Vision for a Humanoid Soccer Robot Using Deep Reinforcement Learning" paper, ICAART 2021
Deep Reinforcement Learning
-Reinforcement Learning- (stablebaselines & gym)
Distributed Online Service Coordination Using Deep Reinforcement Learning
Developed an highly customizable OpenAI gym environment and trained a stable_baselines3 PPO agent. Used the expert agent for Imitation Learning with DAgger
Super Mario Reinforcement Learning (RL) Training Colab notebook with Stable Baseline3 Library
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
A highly-customizable OpenAI gym environment to train & evaluate RL agents trading stocks and crypto.
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
An open source robot reinforcement learing plantform using stable-baselines and OpenAI Gym
My final work for my degree in computer science
A graphical interface for reinforcement learning and gym-based environments.
A collection of pre-trained RL agents using Stable Baselines3
Training model-free RL algorithms with and without physics gradients
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