Free AI webinar: Enabling Learned Behaviors with Reinforcement Learning

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This is online webinar. You can watch, follow, Q&A with instructors from anywhere around the world. Miss the live session due to time zone or conflict? you can learn session replay at any time afterwards.

Free AI webinar: Enabling Learned Behaviors with Reinforcement Learning

Start date/time: 6/19, 10am PT (US pacific time).

Registration:
https://learn.xnextcon.com/event/eventdetails/W19061910

Details:
Behaviors in games---and in the real world---are often difficult to program explicitly. Reinforcement learning (RL) has shown success in learning behaviors based on a simple defined reward function that incentivises correct behavior.
Unity ML-Agents toolkit enables Unity developers to train reinforcement learning models to control behaviors within their games. Once these models are trained, they can be integrated across platforms into a game build via the Unity Inference Engine.
Furthermore, by enabling communication between a Unity build and Python code, ML-Agents enables RL researchers to use Unity games as training environments.

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