opendilab / DI-engineLinks
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
☆3,514Updated last month
Alternatives and similar repositories for DI-engine
Users that are interested in DI-engine are comparing it to the libraries listed below
Sorting:
- PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )☆2,391Updated 6 months ago
- [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCT…☆1,428Updated this week
- An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.☆1,291Updated 6 months ago
- A curated list of awesome model based RL resources (continually updated)☆1,206Updated last week
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,155Updated 9 months ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆988Updated 6 months ago
- A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents include…☆2,544Updated 2 weeks ago
- Unified Reinforcement Learning Framework☆771Updated last year
- [ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence stud…☆467Updated 2 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,246Updated last year
- [AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".☆220Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,169Updated last year
- A curated list of Decision Transformer resources (continually updated)☆823Updated last week
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,689Updated last year
- Massively Parallel Deep Reinforcement Learning. 🔥☆4,176Updated last month
- A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.☆3,048Updated last week
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,374Updated 2 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,589Updated 8 months ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT…☆1,281Updated 6 months ago
- The next generation deep reinforcement learning tookit☆3,455Updated 2 years ago
- A collection of reference environments for offline reinforcement learning☆1,572Updated 10 months ago
- Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab☆2,656Updated 3 weeks ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆844Updated last year
- An offline deep reinforcement learning library☆1,547Updated last week
- Honor of Kings AI Open Environment of Tencent☆768Updated last year
- Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario…☆1,640Updated 3 years ago
- Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code☆641Updated last month
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆944Updated last week
- Python Multi-Agent Reinforcement Learning framework☆2,081Updated 2 years ago
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆682Updated last year