Jiri Cermak
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Reinforcement Learning — 19 citations into it
Whom Jiri Cermak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jiri Cermak's perspective
Ordered by how strongly the researchers Jiri Cermak trusts endorse each paper. Same corpus, a different order for every researcher.
- Human-level control through deep reinforcement learning
- Online Convex Programming and Generalized Infinitesimal Gradient Ascent
- Bandit Based Monte-Carlo Planning
- The Nonstochastic Multiarmed Bandit Problem
- Deep Blue
- Planning in the Presence of Cost Functions Controlled by an Adversary
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
- Gradient-based learning applied to document recognition
- Asynchronous Methods for Deep Reinforcement Learning
Their papers
- Algorithms for computing strategies in two-player simultaneous move games (2016) — 51 citations