seungeunrho / minimalRLLinks
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
☆3,120Updated 2 years ago
Alternatives and similar repositories for minimalRL
Users that are interested in minimalRL are comparing it to the libraries listed below
Sorting:
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,002Updated 2 months ago
- Collection of reinforcement learning algorithms☆2,833Updated last year
- Reinforcement Learning in PyTorch☆2,270Updated 4 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,148Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,387Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,660Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,863Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,904Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,056Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,317Updated 9 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆2,003Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆977Updated 6 months ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,261Updated 4 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,323Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,191Updated 3 years ago
- For deep RL and the future of AI.☆1,497Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,521Updated 2 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,254Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,381Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,304Updated 6 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,512Updated last year
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,273Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,370Updated 2 weeks ago
- Python Multi-Agent Reinforcement Learning framework☆2,128Updated 3 years ago
- PyTorch implementation of soft actor critic☆925Updated 5 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆688Updated 4 years ago
- A collection of reference environments for offline reinforcement learning☆1,618Updated last year
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,655Updated last week