Machine Learning Assets for Games and Scientific Computing


Making leading-edge algorithms available to the full range of software developers

Emotion Based Cognition

In humans and many mammals, the decision making system that underpins our emotions takes the form of dopamine based model-free reinforcement learning (intuitive, unconscious decisions making). The Q-learning algorithm can approximate these strategic decisions and is used in the toolkit to generate behaviors that then drive the agent's emotional response. Download Now

Model Free RL

Model Free Reinforcement Learning can be used to provide an AI or with intentional behavior including avoiding enemy players, collecting health points, and many of the strategies a human is capable of manifesting within a game environment. With our Neurostudio DQN Engine, instead of having to create complex hand-crafted behavior trees, simply reward the actions you want the agent to take and watch as it learns strategies on its own to recieve these rewards.Download Now

Causual Inference

Causal inference remains one of the hard nuts to crack in Artificial Intelligence. Bringing Reinforcement Learning methods to bear on the topic is unlocking new frontiers in casual inference and is an area of ongoing research for us.

Testimonials (Real User Reviews)

"I love the process of q-learning since I always wanted to use real dynamic AI in my projects. This put me a step further!"

 - Kirsten 

"I am actually going to be studying AI and Q-learning for my senior capstone and I think this will be a good reference point to start at."

 - Falthar 

"Yes! This is exactly what I've been looking for. Thank you!"

 - RenderingFiend 



  • Address: E. Ramos St., Dewey
    AZ 86327
  • Email:
  • Website:
  • Phone: 737-202-1190

Autonomous Duck