14 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Implicit Neural Representations of Individual Behavior
Andrew Kang, Priya Narasimhan
We study policy representation learning from unlabeled multi-policy behavioral data. Each episode is generated by a fixed policy, but policy labels are unavailable. This setting ap…
cs.AI2026
Monte Carlo Pass Search: Using Trajectory Generation for 3D Counterfactual Pass Evaluation in Football
Andrew Kang, Priya Narasimhan
We recast pass evaluation in football (soccer) as a Monte Carlo Tree Search (MCTS)-like evaluation problem whose components mostly exist in the literature under different names: a…
cs.LG2016★ 14 cited
Smooth Imitation Learning for Online Sequence Prediction
Hoang M. Le, Andrew Kang, Yisong Yue +1
We study the problem of smooth imitation learning for online sequence prediction, where the goal is to train a policy that can smoothly imitate demonstrated behavior in a dynamic a…