AI4Finance-Foundation / ElegantRLLinks
Massively Parallel Deep Reinforcement Learning. 🔥
☆4,063Updated last month
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 ....☆4,341Updated 2 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,457Updated 2 weeks ago
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,326Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,888Updated last year
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,066Updated 11 months ago
- ☆983Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,255Updated 3 months ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆10,908Updated this week
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,829Updated 10 months ago
- An elegant PyTorch deep reinforcement learning library.☆8,577Updated 2 weeks ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,285Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,314Updated last year
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,589Updated 11 months ago
- Collection of reinforcement learning algorithms☆2,709Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,959Updated 3 weeks ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,779Updated 3 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆7,255Updated 2 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,829Updated last week
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆606Updated this week
- Reinforcement Learning in PyTorch☆2,259Updated 4 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆2,973Updated 3 weeks ago
- Some basic examples of playing with RL☆1,239Updated 5 months ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,234Updated 10 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,630Updated 3 years ago
- Python Multi-Agent Reinforcement Learning framework☆2,033Updated 2 years ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,597Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,493Updated 3 years ago
- A collection of reference environments for offline reinforcement learning☆1,510Updated 7 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- PyTorch implementation of soft actor critic☆882Updated 3 years ago