29 citations · 57 across the 7 of their papers we have counts for
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cs.LG2019★ 2 cited
PAC Reinforcement Learning without Real-World Feedback
Yuren Zhong, Aniket Anand Deshmukh, Clayton Scott
This work studies reinforcement learning in the Sim-to-Real setting, in which an agent is first trained on a number of simulators before being deployed in the real world, with the…
cs.LG2018
Domain2Vec: Deep Domain Generalization
Aniket Anand Deshmukh, Ankit Bansal, Akash Rastogi
We address the problem of domain generalization where a decision function is learned from the data of several related domains, and the goal is to apply it on an unseen domain succe…