Difference between revisions of "Gaming"
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<youtube>HBAUeJkFMH0</youtube> | <youtube>HBAUeJkFMH0</youtube> | ||
<youtube>79pmNdyxEGo</youtube> | <youtube>79pmNdyxEGo</youtube> | ||
+ | <youtube>XbDmxEOj9OY</youtube> | ||
+ | |||
+ | == OpenAI Dota 2 == | ||
+ | <youtube>eHipy_j29Xw</youtube> | ||
+ | <youtube>wiOopO9jTZw</youtube> | ||
− | == Go == | + | == DeepMind Go == |
<youtube>derC33ODrME</youtube> | <youtube>derC33ODrME</youtube> | ||
<youtube>2QhVarCzscs</youtube> | <youtube>2QhVarCzscs</youtube> | ||
− | |||
− | == | + | == IBM Watson Jeopardy == |
+ | <youtube>P0Obm0DBvwI</youtube> | ||
+ | <youtube>4svcCJJ6ciw</youtube> | ||
+ | |||
+ | == IBM Deep Blue Chess == | ||
+ | <youtube>ctwVRJksjJ4</youtube> | ||
+ | <youtube>2Xhd2KNNs-c</youtube> |
Revision as of 19:29, 1 July 2018
- Case Studies
- Reinforcement (RL)
- 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
OpenAI Dota 2
DeepMind Go
IBM Watson Jeopardy
IBM Deep Blue Chess