192 citations · 197 across the 8 of their papers we have counts for
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cs.AI2019
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
Shantanu Chakraborty, Tim Baarslag, Michael Kaisers
This paper presents an automated peer-to-peer negotiation strategy for settling energy contracts among prosumers in a Residential Energy Cooperative considering heterogeneity prosu…
cs.LG2019★ 2 cited
Robust Temporal Difference Learning for Critical Domains
Richard Klima, Daan Bloembergen, Michael Kaisers +1
We present a new Q-function operator for temporal difference (TD) learning methods that explicitly encodes robustness against significant rare events (SRE) in critical domains. The…