Stable-Baselines-Team / stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
☆529Updated last month
Alternatives and similar repositories for stable-baselines3-contrib:
Users that are interested in stable-baselines3-contrib are comparing it to the libraries listed below
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆287Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆630Updated last year
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆671Updated 9 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,162Updated last year
- Multi-objective Gymnasium environments for reinforcement learning☆300Updated last month
- A collection of reference environments for offline reinforcement learning☆1,398Updated last month
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆546Updated 3 months ago
- PyTorch implementation of SAC-Discrete.☆293Updated 5 months ago
- PyTorch implementation of soft actor critic☆841Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆211Updated last month
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,188Updated last month
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆404Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆523Updated 3 years ago
- Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019☆700Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,254Updated last year
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,376Updated last week
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆376Updated this week
- A parallel framework for population-based multi-agent reinforcement learning.☆513Updated last year
- ☆1,109Updated 7 months ago
- Imitation learning algorithms☆492Updated 5 months ago
- A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities☆330Updated last week
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆727Updated last year
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆686Updated 2 years ago
- A collection of MARL benchmarks based on TorchRL☆325Updated this week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,404Updated 6 months ago
- ☆365Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated 2 years ago
- Code for conservative Q-learning☆420Updated 3 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆650Updated 2 years ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆276Updated 2 months ago