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Hao Shen

6 papers hereh-index 11615 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • eess.SY2
  • cs.CV1
  • cs.LG1
same name
  • Hao Shen — 30 papers, h 16
  • Hao Shen — 11 papers, h 17
  • Hao Shen — 11 papers, h 2
  • Hao Shen — 8 papers, h 6
  • Hao Shen — 6 papers, h 5
  • Hao Shen — 5 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedOptimal Water Heater Control in Smart Home Environments

18 citations · 33 across the 6 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.AI2016★ 12 cited

Reinforcement Learning in Conflicting Environments for Autonomous Vehicles

Dominik Meyer, Johannes Feldmaier, Hao Shen

In this work, we investigate the application of Reinforcement Learning to two well known decision dilemmas, namely Newcomb's Problem and Prisoner's Dilemma. These problems are exem…

cs.AI2016

ℓ1​ Regularized Gradient Temporal-Difference Learning

Dominik Meyer, Hao Shen, Klaus Diepold

In this paper, we study the Temporal Difference (TD) learning with linear value function approximation. It is well known that most TD learning algorithms are unstable with linear f…

eess.SY2016★ 18 cited

Optimal Water Heater Control in Smart Home Environments

Christoph Passenberg, Dominik Meyer, Johannes Feldmaier +1

In this work, we develop an optimal water heater control method for a smart home environment. It is important to notice that unlike battery storage systems, energy flow in a water…

eess.SY2016

Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting

Johannes Feldmaier, Dominik Meyer, Hao Shen +1

Reliable prediction of system status is a highly demanded functionality of smart energy systems, which can enable users or human operators to react quickly to potential future syst…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.