Faculty profile
Lacra Pavel
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Research
Latest funding
- $53,000
Learning, Incentives and Control in Strategic Games
NSERC · 2024 · Principal investigator
- $150,000
Distributed Nash equilibrium-seeking Reinforcement Learning for N-player Games
NSERC · 2020 · Principal investigator
- $276,000
Learning and Control in Multi-Agent Games on Networks
NSERC · 2018 · Principal investigator
Learning, Incentives and Control in Strategic Games
Principal investigators: Pavel, Lacra
Keywords: control systems; game theory; largescale decision systems; multi-agent systems; nonlinear dynamical systems; system theory; algorithms; networks; distributed optimization; learning and evolutionary systems
Distributed Nash equilibrium-seeking Reinforcement Learning for N-player Games
Principal investigators: Pavel, Lacra L
Learning and Control in Multi-Agent Games on Networks
Principal investigators: Pavel, Lacra
Green railways optimization algorithms
Principal investigators: Pavel, Lacra
Decentralized optimization of dynamic multi-agent networks
Principal investigators: Pavel, Lacra
Energy Efficient Green Adaptive ICT Networks
Principal investigators: Pavel, Lacra
Control algorithms for robust and adaptive photonic networks
Principal investigators: Pavel, Lacra
Advanced Control Techniques for EDFA: Accuracy, Robustness and Disturbance Handling
Principal investigators: Pavel, Lacra
Dynamics, control and optimization in optical networks
Principal investigators: Pavel, Lacra
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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