MLG 029 Reinforcement Learning Intro

This podcast episode explores the concept of reinforcement learning (RL) as a crucial component of machine learning and artificial intelligence. RL involves training an agent in an environment through trial and error, without labeled data, by receiving rewards or punishments for its actions. Unlike supervised learning, RL allows the agent to learn independently and navigate complex environments to achieve goals. The episode discusses the progress and challenges in implementing RL, the differences between supervised and reinforcement learning in Bitcoin trading, the types of RL agents (model-free and model-based), and the pros and cons of different RL frameworks.

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Machine Learning Guide

Reinforcement Learning: The Heart of AI

Reinforcement Learning: A Deep Dive into Action-Based Machine Learning

Reinforcement Learning: A Step Towards Artificial Intelligence

Trading: Supervised vs. Reinforcement Learning

Model-Free vs. Model-Based Reinforcement Learning Agents: Understanding the Key Differences

The Power of Deep Model-Based Reinforcement Learning: Combining the Best of AI and Deep Learning

Policy Gradient vs Value-Based Reinforcement Learning Methods

Deep Reinforcement Learning: Value-Based Methods vs. Policy Gradient Methods

The Frameworks for Reinforcement Learning

RL frameworks: pros and cons, how to choose the right one

A Comprehensive Introduction to Reinforcement Learning: From Concepts to Frameworks and Resources

Deep Dive into Deep Reinforcement Learning Resources

MLG 029 Reinforcement Learning Intro

Machine Learning Guide

00:00Reinforcement Learning: The Heart of AI

Reinforcement Learning: The Heart of AI

03:33Reinforcement Learning: A Deep Dive into Action-Based Machine Learning

Reinforcement Learning: A Deep Dive into Action-Based Machine Learning

06:30Reinforcement Learning: A Step Towards Artificial Intelligence

Reinforcement Learning: A Step Towards Artificial Intelligence

09:32Trading: Supervised vs. Reinforcement Learning

Trading: Supervised vs. Reinforcement Learning

12:42Model-Free vs. Model-Based Reinforcement Learning Agents: Understanding the Key Differences

Model-Free vs. Model-Based Reinforcement Learning Agents: Understanding the Key Differences

18:12The Power of Deep Model-Based Reinforcement Learning: Combining the Best of AI and Deep Learning

The Power of Deep Model-Based Reinforcement Learning: Combining the Best of AI and Deep Learning

22:15Policy Gradient vs Value-Based Reinforcement Learning Methods

Policy Gradient vs Value-Based Reinforcement Learning Methods

26:05Deep Reinforcement Learning: Value-Based Methods vs. Policy Gradient Methods

Deep Reinforcement Learning: Value-Based Methods vs. Policy Gradient Methods

29:14The Frameworks for Reinforcement Learning

The Frameworks for Reinforcement Learning

33:31RL frameworks: pros and cons, how to choose the right one

RL frameworks: pros and cons, how to choose the right one

36:52A Comprehensive Introduction to Reinforcement Learning: From Concepts to Frameworks and Resources

A Comprehensive Introduction to Reinforcement Learning: From Concepts to Frameworks and Resources

39:51Deep Dive into Deep Reinforcement Learning Resources

Deep Dive into Deep Reinforcement Learning Resources