Stable-Baselines-Team / rl-colab-notebooksLinks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
☆239Updated 9 months ago
Alternatives and similar repositories for rl-colab-notebooks
Users that are interested in rl-colab-notebooks are comparing it to the libraries listed below
Sorting:
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 11 months ago
- ☆184Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆304Updated 2 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆346Updated 3 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆116Updated last year
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated 4 months ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆710Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- ☆426Updated 2 years ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆101Updated 3 years ago
- Ray RLlib tutorial material☆121Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Imitation learning algorithms☆553Updated 7 months ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆648Updated last month
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆324Updated 2 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆100Updated 5 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆305Updated 8 months ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆142Updated 5 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆360Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆512Updated 2 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆57Updated 2 years ago
- Reinforcement learning tutorials☆388Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆228Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆388Updated last year