Fredrik Heintz
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Safety Research — 14 citations into it; #5,254 of 5,829 by trust here, #4,390 by citations
- Safety, Robustness & Interpretability — 13 citations into it
- Sociology and Political Science — 9 citations into it
- Information Systems — 5 citations into it
Whom Fredrik Heintz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Fredrik Heintz overall
Papers from Fredrik Heintz's perspective
Ordered by how strongly the researchers Fredrik Heintz trusts endorse each paper. Same corpus, a different order for every researcher.
- The Black Box Society: The Secret Algorithms That Control Money and Information
- Human-level control through deep reinforcement learning
- How the machine ‘thinks’: Understanding opacity in machine learning algorithms
- Reinforcement Learning: An Introduction
- Explanation in Artificial Intelligence: Insights from the Social Sciences
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Universal Value Function Approximators
- Accountability of AI Under the Law: The Role of Explanation
- Fair, Transparent, and Accountable Algorithmic Decision-making Processes
- Human-Automation Collaboration in Dynamic Mission Planning: A Challenge Requiring an Ecological Approach
Their papers
- A practical guide to multi-objective reinforcement learning and planning (2021) — 587 citations
- Transparency in artificial intelligence (2020) — 296 citations