3 papers
cs.LG2026
Learning to Bid in FCR Markets: A Best-of-Both-Worlds Approach
Marius Potfer, Cheng Wan, Pierre Gruet
Bidding in the European Frequency Containment Reserve (FCR) market is challenging for flexibility providers because competing offers are hidden and bidders observe only partial fee…
cs.LG2026
UNA: A Unified Supervised Framework for Efficient LLM Alignment Across Feedback Types
Zhichao Wang, Bin Bi, Can Huang +7
RL alignment methods, including RLHF and DPO, are primarily based on pairwise preference data. Although scalar or score-based feedback has been collected in some settings, it is ra…
cs.GT2025
Improved learning rates in multi-unit uniform price auctions
Marius Potfer, Dorian Baudry, Hugo Richard +2
Motivated by the strategic participation of electricity producers in electricity day-ahead market, we study the problem of online learning in repeated multi-unit uniform price auct…