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Artificial Intelligence

Unit 1

Reinforcement Learning

Introduction to Reinforcement Learning Value Iteration and Policy Iteration Deep Reinforcement Learning with TensorFlow

Unit 2

Large Language Models

Introduction to Large Language Models Transformers and BERT for NLP Applications of Large Language Models

Unit 1 • Chapter 3

Deep Reinforcement Learning with TensorFlow

Video Summary

This video introduces TF agents, a reinforcement learning library for TensorFlow. It explains the key components of TF agents and how to use it to train a CartPole agent.

Knowledge Check

What does the Q in DQN stand for?

Quality

Quantity

Quark

Action value function

Which of the following is not an agent implemented in TF agents: DQN, PPO, or A2C?

A2C

PPO

DQN

Reverb

What does Reverb stand for?

Reinforcement Learning Library

Reinforcement Learning Framework

Reinforcement Learning Environment

Reinforcement Learning Replay Buffer

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Value Iteration and Policy Iteration

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Introduction to Large Language Models