Felix A. Fischer

Reinforcement Learning · 2004–2010

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 10 citations into it

Whom Felix A. Fischer trusts overall

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

1. Andrew Barto
2. Richard S. Sutton
3. Anil K. Jain
4. Dov Monderer
5. Sridhar Mahadevan
6. Doina Precup
7. Michael L. Littman
8. Martin L. Puterman
9. Satinder Singh
10. Janet L. Kolodner

Who trusts Felix A. Fischer overall

1. Marc-André Zöller
2. Constantinos Daskalakis
3. Lucian Busoniu
4. Shariq Iqbal

Papers from Felix A. Fischer's perspective

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

1. Reinforcement Learning: An Introduction
2. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
3. Markov Games as a Framework for Multi-Agent Reinforcement Learning
4. Markov Decision Processes: Discrete Stochastic Dynamic Programming
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Q-learning
9. Recent Advances in Hierarchical Reinforcement Learning
10. Long Short-Term Memory

Their papers

• Hierarchical reinforcement learning in communication-mediated multiagent coordination (2004) — 32 citations
• On the Rate of Convergence of Fictitious Play (2010) — 36 citations