Optimization
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Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Neural Information Processing Systems
Sliced Wasserstein (SW) distance suffers from redundant projections due to independent uniform random projecting directions.
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Federated Multi-Objective Learning
Neural Information Processing Systems
Pareto stationary solution that is not improvable for all objectives without sacrificing some objectives.
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Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding 1 Jingya Wang 1 Yali Du2Y e Shi 1 1
Neural Information Processing Systems
Recent advances in constrained reinforcement learning (RL) have endowed reinforcement learning with certain safety guarantees.
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