Liviu Panait
Reinforcement Learning · 2004–2025
A researcher in the Science corpus: 9 papers; trusts 43 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Reinforcement Learning — 58 citations into it; #548 of 2,242 by trust here, #716 by citations
- Artificial Intelligence — 33 citations into it; #5,936 of 35,345 by trust here, #7,062 by citations
- Management Science and Operations Research — 24 citations into it; #2,549 of 11,946 by trust here, #2,603 by citations
- Game & Decision Theory — 20 citations into it; #107 of 249 by trust here, #156 by citations
- Computer Networks and Communications — 9 citations into it
- Mechanical Engineering — 5 citations into it
- ML Systems & Hardware — 5 citations into it
- Sociology and Political Science — 5 citations into it; #1,496 of 22,756 by trust here, #1,928 by citations
Whom Liviu Panait trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mitchell A. Potter
- Caroline Claus
- Martin Lauer
- Spiros Kapetanakis
- Maja J. Mataric
- Craig Boutilier
- Richard S. Sutton
- Michael L. Littman
- Michael H. Bowling
- Kalyanmoy Deb
Who trusts Liviu Panait overall
- Ermo Wei
- Karl Tuyls
- Sean Luke
- Laëtitia Matignon
- Guillaume J. Laurent
- Gregory Palmer
- Akifumi Wachi
- Eduardo Rodrigues Gomes
- Pablo Hernandez-Leal
- Sven Gronauer
Papers from Liviu Panait's perspective
Ordered by how strongly the researchers Liviu Panait trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Markov Games as a Framework for Multi-Agent Reinforcement Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: A Survey
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Cooperative Multi-Agent Learning: The State of the Art (2005) — 1,452 citations
- Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective (2008) — 98 citations
- Biasing Coevolutionary Search for Optimal Multiagent Behaviors (2006) — 101 citations
- An Overview of Cooperative and Competitive Multiagent Learning (2005) — 91 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Lenient learners in cooperative multiagent systems (2006) — 78 citations
- MASON: A Multiagent Simulation Environment (2005) — 1,023 citations
- Lenience towards Teammates Helps in Cooperative Multiagent Learning (2005) — 20 citations
- MASON: A New Multi-Agent Simulation Toolkit (2004) — 358 citations