Prof. Lee Byung Gook

Prof. Lee Byung Gook

Department of Computer Engineering, Dongseo Univ.

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Action

Deep

Deep Reinforcement Learning

less than 1 minute read

Published:

Deep Reinforcement Learning

  1. Introduction
  2. RN on Frozen Lake - Exploit VS Exploration
  3. Q-table, Q-function approximation, Q-Network
  4. Playing Atari with Deep Reinforcement Learning, NIPS 2013
  5. Human-level control through deep reinforcement learning, Nature 2015
  6. Mastering the game of Go with deep neural networks and tree search, Nature 2016
  7. Markov Decision Process
  8. Eureka: Human-Level Reward Design via Coding LLM, ICLR 2024

Google

Human Skeleton

Kit

Learning

Deep Reinforcement Learning

less than 1 minute read

Published:

Deep Reinforcement Learning

  1. Introduction
  2. RN on Frozen Lake - Exploit VS Exploration
  3. Q-table, Q-function approximation, Q-Network
  4. Playing Atari with Deep Reinforcement Learning, NIPS 2013
  5. Human-level control through deep reinforcement learning, Nature 2015
  6. Mastering the game of Go with deep neural networks and tree search, Nature 2016
  7. Markov Decision Process
  8. Eureka: Human-Level Reward Design via Coding LLM, ICLR 2024

MediaPipe

Multi-Person

RaspberryPi

Real-time

Recognition

Reinforcement

Deep Reinforcement Learning

less than 1 minute read

Published:

Deep Reinforcement Learning

  1. Introduction
  2. RN on Frozen Lake - Exploit VS Exploration
  3. Q-table, Q-function approximation, Q-Network
  4. Playing Atari with Deep Reinforcement Learning, NIPS 2013
  5. Human-level control through deep reinforcement learning, Nature 2015
  6. Mastering the game of Go with deep neural networks and tree search, Nature 2016
  7. Markov Decision Process
  8. Eureka: Human-Level Reward Design via Coding LLM, ICLR 2024

Smart

TouchBoard

intel

realSensor