p-christ / Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
☆5,791Updated 9 months ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-Algorithms-with-PyTorch:
Users that are interested in Deep-Reinforcement-Learning-Algorithms-with-PyTorch are comparing it to the libraries listed below
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,270Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,300Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,092Updated 3 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,740Updated 2 years ago
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,947Updated 2 weeks ago
- Collection of reinforcement learning algorithms☆2,668Updated 10 months ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,015Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,070Updated 3 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,366Updated 11 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,225Updated last month
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,624Updated 3 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,861Updated last year
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,473Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,197Updated 4 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,267Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,257Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,279Updated 2 months ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,038Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,968Updated 2 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,049Updated 8 months ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,009Updated 9 months ago
- Assignments for CS294-112.☆1,594Updated 2 years ago
- For deep RL and the future of AI.☆1,459Updated last year
- Some basic examples of playing with RL☆1,239Updated 3 months ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- An educational resource to help anyone learn deep reinforcement learning.☆10,854Updated 9 months ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,226Updated last year
- Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.☆917Updated 2 weeks ago