sungyubkim / Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
☆206Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep_RL_with_pytorch
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆214Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆199Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆295Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Random Network Distillation pytorch☆241Updated 5 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆368Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆95Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆305Updated 4 years ago
- PyTorch implementation of SAC-Discrete.☆284Updated 3 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆133Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆479Updated last year
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆271Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆515Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆101Updated 5 years ago
- Simple Cartpole example writed with pytorch.☆165Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆134Updated last year
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆207Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆161Updated 3 months ago
- ☆190Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆120Updated 3 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆491Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆203Updated last year
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆281Updated last year
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆114Updated 2 weeks ago
- Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)☆710Updated 10 months ago
- ☆118Updated 3 months ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated last year
- Adaptive Attention Span for Reinforcement Learning☆132Updated 4 years ago
- Mean Field Multi-Agent Reinforcement Learning☆377Updated 4 years ago