16-745: Dynamic Optimization
Spring 2018
Instructor: Chris Atkeson, cga at cmu
TT 3-4:20 NSH 3002

Events of Interest

Items of Interest

AI can beat us at games, but sometimes, thats by cheating - MIT Technology Review

A computer was trained to play Qbert and immediately broke the game in a way no human ever has

Learning by playing | DeepMind

Welcoming the Era of Deep Neuroevolution | Uber Engineering Blog

Talk by Abbeel

Can increasing depth serve to accelerate optimization? Are more parameters better?

This is the talk I recommended.

Interesting blog about Deep (and Model-Free) Reinforcement Learning The successes mentioned apply to Deep RL. The criticisms actually apply to all model-free RL approaches.

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