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A toolkit for reproducible reinforcement learning research.
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
Tensorforce: a TensorFlow library for applied reinforcement learning
The main features of reinforceio/tensorforce are: Deep Learning Frameworks, Reinforcement Learning, Research Platforms, Frameworks and Libraries.
Projects with overlapping indexed features include: rlworkgroup/garage — A toolkit for reproducible reinforcement learning research. nervanasystems/coach. deepmind/trfl — TensorFlow Reinforcement Learning. kengz/slm-lab — Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep… enlite-ai/maze — Maze Applied Reinforcement Learning Framework. deepmind/sonnet — Sonnet is a modular machine learning framework and TensorFlow library used for building, training, and managing deep…