AI4Finance-Foundation / ElegantRLLinks
Massively Parallel Deep Reinforcement Learning. 🔥
☆4,239Updated last month
Alternatives and similar repositories for ElegantRL
Users that are interested in ElegantRL are comparing it to the libraries listed below
Sorting:
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,996Updated 2 years ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,513Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,540Updated 3 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,639Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,257Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,316Updated 8 months ago
- An elegant PyTorch deep reinforcement learning library.☆8,961Updated 2 weeks ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,411Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆2,002Updated 2 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,313Updated 3 years ago
- ☆1,032Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,905Updated last year
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,211Updated last week
- Python Multi-Agent Reinforcement Learning framework☆2,120Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,686Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,776Updated last year
- Collection of reinforcement learning algorithms☆2,820Updated last year
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆1,001Updated last month
- PFRL: a PyTorch-based deep reinforcement learning library☆1,254Updated last year
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt☆1,258Updated last year
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,697Updated last year
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,160Updated last year
- Some basic examples of playing with RL☆1,259Updated 10 months ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,905Updated last year
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,858Updated 3 years ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,705Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆12,206Updated 2 weeks ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,385Updated last year
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆673Updated 3 weeks ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,194Updated last week