Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness
Author:
Affiliation:
1. Nara Institute of Science and Technology,Division of Information Science,Nara,Japan,630-0192
2. National Institute of Informatics/The Graduate University for Advanced Studies, SOKENDAI,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342236.pdf?arnumber=10342236
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1. Perspectives on system identification
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3. A Brief Review of Domain Adaptation
4. Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks;James;CoRR,2018
5. Domain randomization for transferring deep neural networks from simulation to the real world
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