sungyubkim / Deep_RL_with_pytorchLinks
A pytorch tutorial for DRL(Deep Reinforcement Learning)
☆221Updated 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:
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆148Updated 6 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆372Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 4 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- Random Network Distillation pytorch☆257Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 5 years ago
- Simple Cartpole example writed with pytorch.☆167Updated 6 years ago
- PyTorch implementation of SAC-Discrete.☆312Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆267Updated 5 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆176Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆521Updated 3 years ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆155Updated 6 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆246Updated 5 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆120Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- ☆91Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆145Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆98Updated 5 years ago