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Reinforcement Learning · Hindsight | Envisioning

Hindsight · review build · data not yet validated

Reinforcement Learning

MIT Technology Review, 10 Breakthrough Technologies, 2017, published 2017-02-22

Publishers Envisioning Hype Cycle explorer Forecast vs actual

An approach to artificial intelligence that gets computers to learn like people, without explicit instruction.

Source

Verdict

Not graded yet.

All captured fields

rank: 10
availability: 1 to 2 years
horizon: 1-2 years
key players: ["DeepMind","Mobileye","OpenAI","Google","Uber"]
confidence: high

Permalink

https://www.envisioning.com/hindsight/claims/mit-tr-10-breakthrough-2017-010

Cite

Hindsight, claim mit-tr-10-breakthrough-2017-010. Envisioning. https://www.envisioning.com/hindsight/claims/mit-tr-10-breakthrough-2017-010

Dispute this verdict

Data, code and grading rules are public at github.com/envisioning/hindsight. Data under CC BY 4.0 (the BCB Focus survey under ODbL), code under MIT. Every rule is in the decision log. Think a verdict is wrong? Open a dispute.