sungyubkim / Deep_RL_with_pytorchLinks
A pytorch tutorial for DRL(Deep Reinforcement Learning)
☆224Updated 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:
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆371Updated 6 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆357Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- Simple Cartpole example writed with pytorch.☆168Updated 6 years ago
- Random Network Distillation pytorch☆260Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆268Updated 5 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆314Updated last year
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆215Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆177Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 5 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆529Updated 3 years ago
- PyTorch implementation of Trust Region Policy Optimization☆450Updated 7 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆122Updated 5 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆249Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆146Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆507Updated 3 years ago
- ☆92Updated 5 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆55Updated 7 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆656Updated 4 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago