Centre for Computational and Animal Learning Research
The Centre for Computational and Animal Learning Research specializes in the development of formal and computational models of error-correction learning, a.k.a. reinforcement learning, and neural networks with an emphasis on their implementation in software simulators as essential tools in the cycle of theory formation and refinement.
The Centre for Computational and Animal Learning Research has ownership of the simulators accesible via this page...
Simple-playgrounds
Simple-playgrounds is a library for quickly designing 2D environments where agents can move around and interact with objects.
The game engine includes simple physics, such as collision and friction.
Agents can act through continuous movements and discrete interactive actions. They perceive with realistic first-person view sensors, top-down view sensors, and semantic sensors.
Simple-playgrounds is easy to handle, allows very fast design of AI experiments and runs very quickly
Simple-playgrounds is accesible via this page...