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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
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…