DI-engine
by opendilab
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
AI summary
RL framework
A comprehensive decision intelligence framework for building and deploying reinforcement learning models
- stars
- 3.1K
- forks
- 380
- watching
- 23
- awesome lists
- 4
- #atari
- #distributed-reinforcement-learning
- #distributed-system
- #drl
- #exploration-exploitation
- #imitation-learning
- #impala
- #inverse-reinforcement-learning
- #minigrid
- #model-based-reinforcement-learning
- #mujoco
- #multiagent-reinforcement-learning
- #offline-rl
- #python
- #pytorch-rl
- #r2d2
- #reinforcement-learning
- #reinforcement-learning-algorithms
- #self-play
- #smac
Similar projects
Found by comparing what the projects do, not just their names.
RL frameworks
PyTorch implementations of popular deep reinforcement learning algorithms and environments.
thu-ml/tianshou8.1K
RL library
A high-performance reinforcement learning library with modular interfaces and user-friendly APIs for building deep learning agents.
DRL tutorial course
A comprehensive tutorial course on applying Deep Reinforcement Learning algorithms to various decision-making problems using Python
iffix/machin402
RL framework
An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms.
openai/baselines15.9K
RL frameworks
High-quality implementations of reinforcement learning algorithms for research and development purposes
DRL toolkit
A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning
DRL framework
A comprehensive library for building deep reinforcement learning agents using PyTorch
Deep RL framework
A comprehensive project that provides an implementation of deep reinforcement learning algorithms using PyTorch and Visdom.
Agent building guide
Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym
Decision transformer
A Python implementation of a reinforcement learning algorithm that uses sequence modeling to solve complex decision-making tasks
RL frameworks
An open-source implementation of several reinforcement learning algorithms in PyTorch
Reinforcement Learning Library
A modularized implementation of various deep reinforcement learning algorithms in PyTorch
Reinforcement Learning algorithm
An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments.
multi-agent learning protocol
This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments.
DQN tutorial
A tutorial on implementing and extending the Deep Q Network algorithm for reinforcement learning tasks
Featured in 4 awesome lists
Each link jumps to the spot where the list mentions DI-engine.
