Stable-Baselines-Team / rl-colab-notebooksLinks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
☆244Updated 11 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☆141Updated last year
- ☆187Updated 3 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆357Updated this week
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆199Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆719Updated 2 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆70Updated 6 months ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆102Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 5 years ago
- Reinforcement learning tutorials☆391Updated 2 years ago
- ☆434Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆121Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆114Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆344Updated 2 years ago
- Ray RLlib tutorial material☆121Updated 3 years ago
- Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch☆143Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning☆68Updated 3 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆683Updated 2 weeks ago
- Imitation learning algorithms☆554Updated 9 months ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆330Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 4 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆363Updated 2 years ago
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆453Updated 4 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆523Updated 3 years ago
- Simple Grid Environment for Gymnasium☆64Updated 10 months ago
- PyTorch implementation of SAC-Discrete.☆313Updated last year