193 citations · 244 across the 22 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…
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
Safety in goal directed Reinforcement Learning (RL) settings has typically been handled through constraints over trajectories and have demonstrated good performance in primarily sh…
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
Tien Mai, Avinandan Bose, Arunesh Sinha +1
This work studies Stackelberg network interdiction games -- an important class of games in which a defender first allocates (randomized) defense resources to a set of critical node…