How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Lab is a customizable 3D platform and research testbed designed for training and testing autonomous agents using reinforcement learning. It serves as a spatial AI training simulator where agents can be evaluated through navigation and puzzle-solving tasks. The environment allows for the definition of complex layouts and task behaviors through external scripting, enabling the generation of specific challenges for AI research. It supports both automated training via standard API bindings and manual agent control to validate simulation dynamics. The system utilizes a grid-based spatial represen
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
The main features of opendilab/di-engine are: Reinforcement Learning, Research Platforms, Reinforcement Learning Frameworks.
Projects with overlapping indexed features include: kengz/slm-lab — Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep… nervanasystems/coach. deepmind/lab — Lab is a customizable 3D platform and research testbed designed for training and testing autonomous agents using… deepmind/trfl — TensorFlow Reinforcement Learning. matthiasplappert/keras-rl — Deep Reinforcement Learning for Keras. reinforceio/tensorforce — Tensorforce: a TensorFlow library for applied reinforcement learning.
