Optimization
Maximum Independent Set: Self-Training through Dynamic Programming Lorenzo Brusca Lars C.P.M. Quaedvlieg
A core challenge for deep learning approaches on CO is the lack of training data.
Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Sliced Wasserstein (SW) distance suffers from redundant projections due to independent uniform random projecting directions.
Federated Multi-Objective Learning
Pareto stationary solution that is not improvable for all objectives without sacrificing some objectives.
Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding 1 Jingya Wang 1 Yali Du2Y e Shi 1 1
Recent advances in constrained reinforcement learning (RL) have endowed reinforcement learning with certain safety guarantees.
