Difference between revisions of "Gaming"
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* [[Case Studies]] | * [[Case Studies]] | ||
* [[Reinforcement (RL)]] | * [[Reinforcement (RL)]] | ||
| + | * [[Deep Q Learning (DQN)]] | ||
* [[Competitions]] | * [[Competitions]] | ||
* [http://medium.freecodecamp.org/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8 An introduction to Deep Q-Learning: let’s play Doom] | * [http://medium.freecodecamp.org/an-introduction-to-deep-q-learning-lets-play-doom-54d02d8017d8 An introduction to Deep Q-Learning: let’s play Doom] | ||
Revision as of 08:47, 4 July 2018
- Case Studies
- Reinforcement (RL)
- Deep Q Learning (DQN)
- Competitions
- An introduction to Deep Q-Learning: let’s play Doom
- IBM Watson: The inside story of how the Jeopardy-winning supercomputer was born, and what it wants to do next | Jo Best - TechRepublic
- AI and Games Series; an Informed Overview | Dr Tommy Thompson
Contents
OpenAI: Dota 2 ...2018
Google DeepMind AlphaGo: Go ...2016
Google DeepMind: Atari video games ...2015
IBM Watson: Jeopardy ...2011
IBM Deep Blue: Chess ...1997
Donald Waterman: Draw Poker ...1968
Arthur Samuel: Checkers ...1950s
