Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

1 code implementation • NeurIPS 2023 • Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham

Many problems in Reinforcement Learning (RL) seek an optimal policy with large discrete multidimensional yet unordered action spaces; these include problems in randomized allocation of resources such as placements of multiple security resources and emergency response units, etc.

reinforcement-learning Reinforcement Learning (RL) +1

Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility

1 code implementation • 13 Feb 2022 • Wai Tuck Wong, Sarah Kinsey, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha

We show that an adversary can cause such failures by forcing rank deficiency on the matrix fed to the optimization layer which results in the optimization failing to produce a solution.

Autonomous Driving

DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems

1 code implementation • 2 Jan 2021 • Ramesha Karunasena, Piumi Sandarenu, Madushi Pinto, Achala Athukorala, Ranga Rodrigo, Peshala Jayasekara

Humanoid robots that act as human-robot interfaces equipped with social skills can assist people in many of their daily activities.

Face Recognition Self-Learning +2

Measuring Data Collection Diligence for Community Healthcare

no code implementations • 5 Nov 2020 • Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe

In this work, we define and test a data collection diligence score.