3 papers
cs.LG2026
V-SHARE: Provable Convergence Guarantees for Advantage-based Algorithms
Kintan Saha, Hamed Masoudi, Xinyi Sheng +3
In reinforcement learning, advantage-based value-learning methods, unlike standard Q-learning, share information across actions by decomposing the action-value function into a stat…
math.OC2026
On Partial Optimality in QUBO via Quadratic Posiform Autarkies
Lucas Fabian Naumann, Bjoern Andres
Partially optimal assignments (also called persistencies) allow combinatorial optimization problems to be reduced by fixing a subset of variables to values consistent with at least…
cs.AI2025
Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations
S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha +4
In a recent work, we proposed Reliable Policy Iteration (RPI), that restores policy iteration's monotonicity-of-value-estimates property to the function approximation setting. Here…