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.
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
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
The main features of kengz/slm-lab are: Reinforcement Learning, Research Platforms, Deep Reinforcement Learning.
Projects with overlapping indexed features include: deepmind/lab — Lab is a customizable 3D platform and research testbed designed for training and testing autonomous agents using… ikostrikov/pytorch-naf — Implementation of algorithms for continuous control (DDPG and NAF). alexis-jacq/pytorch-dppo. catalyst-team/catalyst-rl — Accelerated RL. deepmind/trfl — TensorFlow Reinforcement Learning. jingweiz/pytorch-rl — Deep Reinforcement Learning with pytorch & visdom.
