AI4Finance-Foundation / ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
☆3,949Updated last week
Alternatives and similar repositories for ElegantRL:
Users that are interested in ElegantRL are comparing it to the libraries listed below
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,308Updated last week
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,825Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,197Updated last week
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,240Updated 2 years ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,762Updated 8 months ago
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆4,197Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,944Updated 8 months ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,518Updated 10 months ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,486Updated 8 months ago
- Collection of reinforcement learning algorithms☆2,622Updated 9 months ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,235Updated last year
- PFRL: a PyTorch-based deep reinforcement learning library☆1,222Updated 7 months ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,829Updated last week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,716Updated 2 years ago
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,928Updated 4 months ago
- Python Multi-Agent Reinforcement Learning framework☆1,975Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,282Updated 11 months ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,060Updated 3 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,540Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,450Updated 2 years ago
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"☆933Updated last month
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆644Updated last year
- A toolkit for reproducible reinforcement learning research.☆1,945Updated last year
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆10,184Updated this week
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,161Updated 2 years ago
- ☆944Updated 2 years ago
- An elegant PyTorch deep reinforcement learning library.☆8,314Updated this week
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,607Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,442Updated 4 months ago
- Reinforcement Learning in PyTorch☆2,245Updated 4 years ago