Stable-Baselines-Team / rl-colab-notebooksLinks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
☆229Updated 5 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☆130Updated 8 months ago
- ☆184Updated 3 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆302Updated 2 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆183Updated 10 months ago
- Multi-objective Gymnasium environments for reinforcement learning☆333Updated 2 weeks ago
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆685Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆145Updated 3 years ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆69Updated last month
- Reinforcement learning tutorials☆386Updated 2 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆619Updated 3 weeks ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Ray RLlib tutorial material☆117Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆223Updated 3 years ago
- Imitation learning algorithms☆539Updated 3 months ago
- PyTorch implementation of SAC-Discrete.☆307Updated 11 months ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆114Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last week
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆100Updated 2 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆298Updated 4 months ago
- RLlib tutorials☆66Updated 3 years ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆415Updated 3 years ago