AI4Finance-Foundation / ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
☆3,747Updated last week
Related projects ⓘ
Alternatives and complementary repositories for ElegantRL
- PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....☆3,975Updated last year
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,085Updated this week
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆1,733Updated 4 months ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasks☆1,717Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow☆1,872Updated last week
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆5,718Updated last week
- An elegant PyTorch deep reinforcement learning library.☆7,977Updated 3 weeks ago
- Collection of reinforcement learning algorithms☆2,510Updated 5 months ago
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,642Updated 3 months ago
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,461Updated 2 years ago
- Python Multi-Agent Reinforcement Learning framework☆1,884Updated last year
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,130Updated 11 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,162Updated 2 years ago
- Some basic examples of playing with RL☆1,218Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,088Updated last year
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.☆2,407Updated 6 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,190Updated 7 months ago
- ☆876Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,222Updated 11 months ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.☆9,160Updated this week
- PFRL: a PyTorch-based deep reinforcement learning library☆1,197Updated 3 months ago
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆2,352Updated this week
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,607Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,349Updated this week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,332Updated 4 months ago
- Reinforcement Learning in PyTorch☆2,233Updated 3 years ago
- Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)☆2,883Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,055Updated 3 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone☆2,387Updated 2 years ago
- An offline deep reinforcement learning library☆1,334Updated this week