seungeunrho / minimalRLLinks
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
☆3,070Updated 2 years ago
Alternatives and similar repositories for minimalRL
Users that are interested in minimalRL are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,982Updated last week
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,130Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,776Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,351Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,313Updated 3 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,875Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,835Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,078Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,248Updated 4 years ago
- A toolkit for reproducible reinforcement learning research.☆2,026Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,286Updated 6 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,650Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,959Updated 2 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 2 years ago
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆965Updated 4 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,301Updated 2 weeks ago
- Simple and easily configurable grid world environments for reinforcement learning☆2,331Updated 3 weeks ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,483Updated last year
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,459Updated 2 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,247Updated last year
- For deep RL and the future of AI.☆1,480Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,345Updated last year
- A library of reinforcement learning components and agents☆3,798Updated last week
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆684Updated 4 years ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,876Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,527Updated last year
- Python Multi-Agent Reinforcement Learning framework☆2,086Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,184Updated last year
- Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approxi…☆766Updated 6 years ago