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".
kengz/slm-lab 的主要功能包括：Reinforcement Learning, Research Platforms, Deep Reinforcement Learning。
kengz/slm-lab 的开源替代品包括： 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.
