Mayank Daswani

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #27,288 of 35,345 by trust here, #28,481 by citations
• Reinforcement Learning — 11 citations into it
• Computational Theory and Mathematics — 7 citations into it; #9,480 of 12,182 by trust here, #8,294 by citations

Whom Mayank Daswani trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark B. Ring
2. Laurent Orseau
3. Richard S. Sutton
4. Marcus Hutter

Who trusts Mayank Daswani overall

1. Tom Everitt

Papers from Mayank Daswani's perspective

Ordered by how strongly the researchers Mayank Daswani trusts endorse each paper. Same corpus, a different order for every researcher.

1. Reinforcement Learning: An Introduction
2. Space-Time Embedded Intelligence
3. Superintelligence: Paths, Dangers, Strategies
4. Mastering the game of Go with deep neural networks and tree search
5. Delusion, Survival, and Intelligent Agents
6. Universal Intelligence: A Definition of Machine Intelligence
7. Model-based Utility Functions
8. Bad Universal Priors and Notions of Optimality
9. The Basic AI Drives
10. Learning What to Value

Their papers

• Self-Modification of Policy and Utility Function in Rational Agents (2016) — 36 citations
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations