Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.
The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.
Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.
The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.
The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations
342
The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations
342Hardcover(1st ed. 2020)
Product Details
| ISBN-13: | 9783030291341 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 11/30/2019 |
| Series: | The Springer Series on Challenges in Machine Learning |
| Edition description: | 1st ed. 2020 |
| Pages: | 342 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |