Stefan Menzel
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Economics and Econometrics — 9 citations into it
- Sociology and Political Science — 7 citations into it
Whom Stefan Menzel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Stefan Menzel's perspective
Ordered by how strongly the researchers Stefan Menzel trusts endorse each paper. Same corpus, a different order for every researcher.
- Mastering the game of Go with deep neural networks and tree search
- Solving Hanabi: Estimating Hands by Opponent's Actions in Cooperative Game with Incomplete Information
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- A Survey of Monte Carlo Tree Search Methods
- How to Make the Perfect Fireworks Display: Two Strategies for Hanabi
- Hanabi is NP-complete, Even for Cheaters who Look at Their Cards
- Empirical evaluation of ad hoc teamwork in the pursuit domain
- Aspects of the Cooperative Card Game Hanabi
- Robots that can adapt like animals
- Playing Hanabi Near-Optimally
Their papers
- Diverse Agents for Ad-Hoc Cooperation in Hanabi (2019) — 50 citations
- Evolving Agents for the Hanabi 2018 CIG Competition (2018) — 26 citations