RchalYang / torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
☆220Updated 2 years ago
Alternatives and similar repositories for torchrl:
Users that are interested in torchrl are comparing it to the libraries listed below
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆307Updated 3 years ago
- PyTorch implementation of SAC-Discrete.☆301Updated 8 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆536Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆488Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆297Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆238Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆496Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆227Updated 4 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆330Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆355Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆211Updated last year
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆105Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆346Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆137Updated 6 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆332Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆175Updated 8 months ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆211Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆207Updated 5 years ago
- Code for the paper "Phasic Policy Gradient"☆260Updated 2 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆427Updated 3 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Random Network Distillation pytorch☆247Updated 6 years ago
- Keeping track of RL experiments☆162Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- Multi Task RL Baselines☆239Updated 3 years ago