sungyubkim / Deep_RL_with_pytorchView external linksLinks
A pytorch tutorial for DRL(Deep Reinforcement Learning)
☆224Apr 24, 2023Updated 2 years ago
Alternatives and similar repositories for Deep_RL_with_pytorch
Users that are interested in Deep_RL_with_pytorch are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Mar 15, 2023Updated 2 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Jul 26, 2019Updated 6 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆188Jul 25, 2024Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082May 19, 2021Updated 4 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆693Dec 18, 2025Updated last month
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,273Feb 9, 2021Updated 5 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Nov 19, 2021Updated 4 years ago
- Structural implementation of RL key algorithms☆516Apr 8, 2023Updated 2 years ago
- PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.☆612Nov 11, 2017Updated 8 years ago
- A repository for implementation of deep reinforcement learning lectured at Samsung☆109Sep 20, 2021Updated 4 years ago
- The implement of GAIL with pytorch☆14Mar 11, 2020Updated 5 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆133May 5, 2019Updated 6 years ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆772Dec 22, 2023Updated 2 years ago
- Random Network Distillation pytorch☆260Mar 4, 2019Updated 6 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,571Mar 24, 2023Updated 2 years ago
- Plannable Approximations to MDP Homomorphisms: Equivariance under Actions☆30Jun 30, 2020Updated 5 years ago
- ☆29May 27, 2024Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Dec 8, 2020Updated 5 years ago
- An implementation of DreamerV2 written in JAX, with support for running multiple random seeds of an experiment on a single GPU.☆18Jan 16, 2023Updated 3 years ago
- A Reinforcement Learning / Neural Network library, written in Rust.☆21Mar 7, 2021Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,142Apr 22, 2023Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,406Apr 16, 2024Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,922Jul 25, 2024Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,005Sep 26, 2025Updated 4 months ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Jul 27, 2022Updated 3 years ago
- A standalone release of DeepMind Lab's maze generator with Python bindings.☆67Oct 3, 2023Updated 2 years ago
- ☆13Apr 25, 2024Updated last year
- Reinforcement learning algorithm implementation☆10Oct 31, 2021Updated 4 years ago
- Hierarchical Reinforcement Learning (batteries included)☆48Oct 12, 2019Updated 6 years ago
- deep-reinforcement-learning☆16Mar 16, 2019Updated 6 years ago
- Introduction to Deep Reinforcement Learning☆88Nov 24, 2025Updated 2 months ago
- Vectorization techniques for fast population-based training.☆57Aug 12, 2022Updated 3 years ago
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆741May 23, 2022Updated 3 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Feb 26, 2019Updated 6 years ago
- Implementation of Data Efficient Reinforcement Learning in Pytorch☆20Aug 6, 2019Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Nov 15, 2021Updated 4 years ago
- Revisiting Rainbow☆75Jun 9, 2021Updated 4 years ago