reinforcement learning fundamentals

44 verified PDFs

[PDF] Fundamentals of reinforcement learning - DataCamp

Agent learns through trial and error. Agent receives: Rewards for good decisions. Penalties for bad decisions. Goal: maximize positive feedback over time ...

projector-video-pdf-converter.datacamp.com·10.6 MB
[PDF] Intelligent agents: theory and practice

Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of ...

www.cs.ox.ac.uk·4.6 MB
Discovering Reinforcement Learning Algorithms

Reinforcement learning (RL) algorithms update an agent's parameters according to one of several possible rules, discovered manually through years of research.

papers.neurips.cc·2.5 MB
[PDF] Spinning Up Documentation - OpenAI

Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement ...

spinningup.openai.com·1.2 MB

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