Reinforcement learning overview (Reinforcement learning with TensorFlow Agents)

Wei Wei, a Developer Advocate for TensorFlow, kicks off a new series on reinforcement learning where we explore how you can leverage TensorFlow Agents to build your own reinforcement learning agents.
Wei explains how reinforcement learning can be used to train agents to make the best decisions when performing actions in environments to maximize rewards.

Reinforcement Learning Lecture Series 2021 (DeepMind x UCL) →

Introduction to Reinforcement Learning →

Chip Design with Deep Reinforcement Learning →

Quickly Training Game-Playing Agents with Machine Learning →

Leveraging Machine Learning for Game Development →

OpenAI Gym →

Github →

00:00 Series introduction
00:55 Reinforcement learning example
01:30 What is reinforcement learning
02:24 Supervised learning vs. reinforcement learning
03:44 Taxonomy
05:13 Reinforcement learning applications
06:34 Training environments
08:13 References and summary

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product: TensorFlow – General; fullname: Wei Wei;