3 papers
cs.LG2026
Optimistic Policy Regularization
Mai Pham, Vikrant Vaze, Peter Chin
Deep reinforcement learning agents frequently suffer from premature convergence, where early entropy collapse causes the policy to discard exploratory behaviors before discovering…
cs.GT2025
Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions
Mai Pham, Vikrant Vaze, Peter Chin
Cyber defense operations increasingly require long-term strategic planning under uncertainty and resource constraints. We propose a new use of combinatorial auctions for allocating…
cs.GT2025
Advancing Differentiable Economics: A Neural Network Framework for Revenue-Maximizing Combinatorial Auction Mechanisms
Mai Pham, Vikrant Vaze, Peter Chin
Differentiable economics, which uses neural networks as function approximators and gradient-based optimization in automated mechanism design (AMD), marked a significant breakthroug…