4 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen +2
Many problems in Reinforcement Learning (RL) seek an optimal policy with large discrete multidimensional yet unordered action spaces; these include problems in randomized allocatio…
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
Wai Tuck Wong, Sarah Kinsey, Ramesha Karunasena +2
Prior work has successfully incorporated optimization layers as the last layer in neural networks for various problems, thereby allowing joint learning and planning in one neural n…
Measuring Data Collection Diligence for Community Healthcare
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha +5
Data analytics has tremendous potential to provide targeted benefit in low-resource communities, however the availability of high-quality public health data is a significant challe…