AI4Finance-Foundation / ElegantRLLinks
Massively Parallel Deep Reinforcement Learning. π₯
β4,187Updated 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 ....β4,459Updated 2 years ago
- Author's PyTorch implementation of TD3 for OpenAI gym tasksβ1,959Updated 2 years ago
- Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyoneβ2,527Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithmsβ4,313Updated 3 years ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents includeβ¦β2,567Updated last month
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorchβ2,184Updated last year
- Rainbow is all you need! A step-by-step tutorial from DQN to Rainbowβ1,982Updated last week
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QTβ¦β1,286Updated 6 months ago
- Collection of reinforcement learning algorithmsβ2,776Updated last year
- An elegant PyTorch deep reinforcement learning library.β8,823Updated last week
- PyTorch implementations of deep reinforcement learning algorithms and environmentsβ5,875Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.β1,379Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforβ¦β3,835Updated 3 years ago
- β1,016Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorchβ3,351Updated last year
- Source codes for the book "Reinforcement Learning: Theory and Python Implementation"β985Updated 2 months ago
- Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.β2,665Updated last year
- Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packtβ1,248Updated last year
- Some basic examples of playing with RLβ1,252Updated 8 months ago
- PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.β11,644Updated last week
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.β3,083Updated this week
- Clean PyTorch implementations of imitation and reward learning algorithmsβ1,602Updated 9 months ago
- Python Multi-Agent Reinforcement Learning frameworkβ2,086Updated 2 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilitiesβ3,134Updated last month
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenarioβ¦β1,646Updated 3 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).β1,701Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, Tβ¦β7,986Updated 2 months ago
- Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environmentsβ854Updated 5 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.β1,184Updated 2 years ago
- Reinforcement Learning in PyTorchβ2,266Updated 4 years ago