Stable-Baselines-Team / rl-colab-notebooks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
☆215Updated last month
Alternatives and similar repositories for rl-colab-notebooks:
Users that are interested in rl-colab-notebooks are comparing it to the libraries listed below
- Multi-objective Gymnasium environments for reinforcement learning☆311Updated 2 weeks ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆174Updated 6 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆124Updated 4 months ago
- ☆183Updated 3 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆203Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆345Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆299Updated 7 months ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆354Updated 3 months ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆291Updated last year
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆349Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆143Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆295Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆99Updated 2 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆160Updated 8 months ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆412Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC)☆532Updated 3 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆582Updated 5 months ago
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆407Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆108Updated last year
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆180Updated 2 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆170Updated 9 months ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆218Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆171Updated 7 months ago
- Experiments with reinforcement learning and recurrent neural networks☆113Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆563Updated 2 weeks ago
- Imitation learning algorithms☆505Updated 7 months ago
- Baseline implementation of recurrent PPO using truncated BPTT☆137Updated 10 months ago