11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport
Arash Givchi, Pei Wang, Junqi Wang +1
We consider constrained policy optimization in Reinforcement Learning, where the constraints are in form of marginals on state visitations and global action executions. Given these…
cs.LG2019
Learning a manifold from a teacher's demonstrations
Pei Wang, Arash Givchi, Patrick Shafto
We consider the problem of learning a manifold from a teacher's demonstration. Extending existing approaches of learning from randomly sampled data points, we consider contexts whe…
cs.LG2017★ 11 cited
Optimal Cooperative Inference
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi +3
Cooperative transmission of data fosters rapid accumulation of knowledge by efficiently combining experiences across learners. Although well studied in human learning and increasin…