tigerneil / awesome-deep-rlLinks
For deep RL and the future of AI.
☆1,475Updated last year
Alternatives and similar repositories for awesome-deep-rl
Users that are interested in awesome-deep-rl are comparing it to the libraries listed below
Sorting:
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,732Updated last year
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆681Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆2,003Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,988Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,321Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,322Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,063Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,970Updated 2 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,233Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,291Updated 5 months ago
- Assignments for CS294-112.☆1,604Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,283Updated 5 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,609Updated last year
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,842Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,267Updated 4 months ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,230Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,445Updated 2 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,119Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,808Updated 3 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆826Updated 3 years ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,287Updated last month
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,916Updated 2 years ago
- Simple A3C implementation with pytorch + multiprocessing☆649Updated 2 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,459Updated 2 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆709Updated 2 years ago