PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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Updated
Sep 18, 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.
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A collection of pre-trained RL agents using Stable Baselines3
An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
Stable Baselines官方文档中文版
NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains
Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.
A well-documented A2C written in PyTorch
MovieLens recommendation system using reinforcement learning (GYM + PPO)
RL Reach is a platform for running reproducible reinforcement learning experiments.
Mirror Descent Policy Optimization
A graphical interface for reinforcement learning and gym-based environments.
Distributed Online Service Coordination Using Deep Reinforcement Learning
A highly-customizable OpenAI gym environment to train & evaluate RL agents trading stocks and crypto.
Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.
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