Victor R. Lesser

Artificial Intelligence · 1995–2020

A researcher in the Science corpus: 12 papers; trusts 43 researchers and is trusted by 63 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it; #3,735 of 35,345 by trust here, #6,664 by citations
• Reinforcement Learning — 50 citations into it; #417 of 2,242 by trust here, #895 by citations
• Management Science and Operations Research — 22 citations into it; #808 of 11,946 by trust here, #1,482 by citations
• Computer Networks and Communications — 15 citations into it; #1,496 of 9,886 by trust here, #3,523 by citations
• Computational Theory and Mathematics — 8 citations into it; #3,954 of 12,182 by trust here, #6,463 by citations
• Game & Decision Theory — 8 citations into it
• Sociology and Political Science — 8 citations into it
• LLM Agents & Tool Use — 7 citations into it; #34 of 124 by trust here, #100 by citations

Whom Victor R. Lesser trusts overall

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

1. Michael H. Bowling
2. Craig Boutilier
3. Richard S. Sutton
4. Carlos Guestrin
5. Satinder Singh
6. Martin A. Zinkevich
7. Michael P. Wellman
8. Caroline Claus
9. Chongjie Zhang
10. Junling Hu

Who trusts Victor R. Lesser overall

1. Chongjie Zhang
2. Frans Adriaan Oliehoek
3. Tonghan Wang
4. Bryan Horling
5. Karl Tuyls
6. Chris Amato
7. Pablo Hernandez-Leal
8. Maaike Harbers
9. Jianhao Wang
10. Jakob N. Foerster

Papers from Victor R. Lesser's perspective

Ordered by how strongly the researchers Victor R. Lesser trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Reinforcement Learning: An Introduction
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Human-level control through deep reinforcement learning

Their papers

• Multi-Agent Learning with Policy Prediction (2010) — 144 citations
• Coordinating multi-agent reinforcement learning with limited communication (2013) — 155 citations
• A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics (2008) — 96 citations
• Solving Transition Independent Decentralized Markov Decision Processes (2004) — 278 citations
• Building Ethics into Artificial Intelligence (2018) — 213 citations
• Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs (2011) — 137 citations
• Solving distributed constraint optimization problems using cooperative mediation (2004) — 396 citations
• A survey of multi-agent organizational paradigms (2004) — 752 citations
• ROMA: Multi-Agent Reinforcement Learning with Emergent Roles (2020) — 304 citations
• Self-organization for coordinating decentralized reinforcement learning (2010) — 42 citations
• Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework (2002) — 302 citations
• Learning Organizational Roles in a Heterogeneous Multi-agent System (1995)