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Philip Jordan — most-cited papers & profile · Reinforcement Learning
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Philip Jordan
4
papers ·
2
citations ·
1
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Most-cited papers
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
2024 · 1 citations
Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
2026
Model-Based Learning of Near-Optimal Finite-Window Policies in POMDPs
2026
Top co-authors
Maryam Kamgarpour
· 2
Flint Xiaofeng Fan
· 1
Florian Gr\"otschla
· 1
Roger Wattenhofer
· 1
Topics
Multi-Agent
Model-Based RL
Game AI
Value-Based
Policy Gradient