AI4Finance-Foundation / ElegantRLLinks
Massively Parallel Deep Reinforcement Learning. 🔥
☆4,090Updated last week
Alternatives and similar repositories for ElegantRL
Users that are interested in ElegantRL are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,371Updated 2 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,483Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,107Updated last year
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,902Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,967Updated last month
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,263Updated 4 months ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,501Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,298Updated 2 years ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,344Updated 2 years ago
- ☆991Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,048Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,853Updated 11 months ago
- Collection of reinforcement learning algorithms☆2,723Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,604Updated 2 years ago
- Some basic examples of playing with RL☆1,243Updated 6 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,620Updated last year
- An elegant PyTorch deep reinforcement learning library.☆8,629Updated this week
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆1,026Updated 9 months ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,029Updated last month
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,799Updated 3 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,603Updated last year
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,606Updated last year
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆971Updated 2 weeks ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,080Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,183Updated 2 years ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,911Updated this week
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆3,033Updated 2 years ago
- Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆1,831Updated last year
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,319Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆11,111Updated 2 weeks ago