seungeunrho / minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
☆2,943Updated last year
Alternatives and similar repositories for minimalRL:
Users that are interested in minimalRL are comparing it to the libraries listed below
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,069Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,239Updated 4 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,602Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,589Updated 8 months ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,680Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,909Updated 3 months ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,315Updated 8 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,259Updated 10 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- A toolkit for reproducible reinforcement learning research.☆1,919Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,217Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,713Updated 6 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,267Updated last year
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,152Updated 4 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,112Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,178Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,242Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,153Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,266Updated this week
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆891Updated last month
- For deep RL and the future of AI.☆1,444Updated 11 months ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,936Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,174Updated 2 weeks ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,219Updated 6 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,786Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,518Updated 10 months ago
- Python library for Reinforcement Learning.☆856Updated this week
- A collection of reference environments for offline reinforcement learning☆1,414Updated 3 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆672Updated 4 years ago
- Structural implementation of RL key algorithms☆510Updated last year