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Unity Technologies has linked its game engine to machine learning software, in order to train better virtual characters and physical robots.
Meanwhile, the ML-Agents package is used to provide the brain for Albert, the AI charged with learning to walk. The video steps through a variety of “deep reinforcement learning” tasks.
Like OpenAI’s Gym and DeepMind Lab, the Unity ML Toolkit can be used to simulate actions and train agents using forms of deep reinforcement learning.
But some of the key principles of reinforcement learning have been applied to AI models. This is often referred to as deep reinforcement learning (since it is leveraged with deep learning).
Multi-Objective Reinforcement Learning (MORL) is an emerging field that extends the conventional reinforcement learning paradigm by enabling agents to optimise multiple conflicting objectives ...
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