In the last chapter, we studied the various aspects of the brain-academy architecture of the ML Agents Toolkit and understood certain scripts that are very important for the agent to make a decision according to a policy. In this chapter, we will be looking into the core concepts of deep reinforcement learning (RL) through Python and its interaction with the C# scripts of the brain-academy architecture. We have had a glimpse of a part of deep RL when we briefly discussed the deep Q-learning algorithm using the OpenAI Gym environment (CartPole) and also when ...
© Abhilash Majumder 2021
A. MajumderDeep Reinforcement Learning in Unityhttps://doi.org/10.1007/978-1-4842-6503-1_55. Deep Reinforcement Learning
Abhilash Majumder1
(1)
Pune, Maharashtra, India
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