open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
AI summary
Game RL framework
A framework for researching and developing reinforcement learning algorithms in game environments.
- stars
- 4.3K
- forks
- 939
- watching
- 106
Similar projects
Found by comparing what the projects do, not just their names.
Massively Multiagent Game Environment
A framework for creating agents that can scale to the complexity of the real world by simulating a massively multiagent game environment
Agent building guide
Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym
AI testbed
A 3D environment for testing and training artificial intelligence agents
Game RL toolkit
Provides tools and algorithms for developing reinforcement learning policies in game environments.
Learning environment framework
Develops and compares reinforcement learning algorithms by providing a standard API to communicate between learning algorithms and environments
DRL toolkit
A next-generation deep reinforcement learning toolkit with libraries for multiagent, self-supervised, offline, and transfer/reinforcement learning
Reinforcement learning env.
An environment designed to test and train reinforcement learning algorithms in a flexible, procedurally generated 2D space with various objects and interactions.
isl-org/open3d11.6K
3D processing library
A C++ library for rapid development of software that processes 3D data
RL simulator
A software stack for simulating physics-based environments and training reinforcement learning agents
openai/baselines15.9K
RL frameworks
High-quality implementations of reinforcement learning algorithms for research and development purposes
Robotics framework
An environment for testing and developing motion planning algorithms for robotics
RL toolkit
A toolkit for building and deploying reinforcement learning agents
Agent trainer
Enables game developers to train intelligent agents using reinforcement learning and imitation learning.
Game environment benchmark
A benchmark for evaluating reinforcement learning agent performance on procedurally generated game-like environments.
Deep learning trainer
Provides a flexible and configurable framework for training deep learning models with PyTorch.
