44 citations · 95 across the 36 of their papers we have counts for
3 papers · 1 filter
Inference-Time Nash Alignment
Hadi Hosseini, Debmalya Mandal, Duohan Zhang
Preference-based fine-tuning methods such as RLHF and DPO require substantial compute and large preference datasets. They also need direct access to the model parameters which are…
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal +1
Establishing causal relationships between actions and outcomes is fundamental for accountable multi-agent decision-making. However, interpreting and quantifying agents' contributio…
Markov Decision Processes with Time-Varying Geometric Discounting
Jiarui Gan, Annika Hennes, Rupak Majumdar +2
Canonical models of Markov decision processes (MDPs) usually consider geometric discounting based on a constant discount factor. While this standard modeling approach has led to ma…