Viliam Lisý
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 11 papers; trusts 30 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #20,679 of 35,345 by trust here, #7,606 by citations
- Reinforcement Learning — 53 citations into it; #1,669 of 2,242 by trust here, #632 by citations
- Game & Decision Theory — 48 citations into it; #177 of 249 by trust here, #30 by citations
- Management Science and Operations Research — 42 citations into it
- Economics and Econometrics — 29 citations into it; #22,680 of 23,481 by trust here, #3,652 by citations
- Sociology and Political Science — 15 citations into it
- Information Systems — 10 citations into it
- Economics & Operations Research — 6 citations into it
Whom Viliam Lisý trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Levente Kocsis
- Michael H. Bowling
- Rémi Coulom
- Martin A. Zinkevich
- Nathan R Sturtevant
- Michael Bradley Johanson
- Michael Buro
- Milind Tambe
- Peter Auer
- Michael L. Littman
Who trusts Viliam Lisý overall
- Johannes Heinrich
- Kaiqing Zhang
- Marc Lanctot
- David Silver
- Zhuoran Yang
- Noam Brown
- Yuxi Li
- Branislav Bosanský
- Neil Burch
- Tamer Basar
Papers from Viliam Lisý's perspective
Ordered by how strongly the researchers Viliam Lisý trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Human-level control through deep reinforcement learning
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Bandit Based Monte-Carlo Planning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
- Asynchronous Methods for Deep Reinforcement Learning
- Long Short-Term Memory
Their papers
- DeepStack: Expert-level artificial intelligence in heads-up no-limit poker (2017) — 1,018 citations
- Algorithms for computing strategies in two-player simultaneous move games (2016) — 51 citations
- An Exact Double-Oracle Algorithm for Zero-Sum Extensive-Form Games with Imperfect Information (2014) — 97 citations
- Convergence of Monte Carlo Tree Search in Simultaneous Move Games (2013) — 22 citations
- Reports of the 2016 AAAI Workshop Program (2016) — 3 citations
- Rethinking Formal Models of Partially Observable Multiagent Decision Making (2019) — 69 citations
- Acta Polytechnica (2018)
- DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker (2017) — 225 citations
- Online Monte Carlo Counterfactual Regret Minimization for Search in Imperfect Information Games (2015) — 82 citations
- Optimal Network Security Hardening Using Attack Graph Games (2015) — 115 citations
- Reports from the 2015 AAAI Workshop Program (2015) — 3 citations