8 citations · 14 across the 6 of their papers we have counts for
3 papers · 1 filter
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
Catholijn M. Jonker, Luciano Cavalcante Siebert, Pradeep K. Murukannaiah
With the growing capabilities and pervasiveness of AI systems, societies must collectively choose between reduced human autonomy, endangered democracies and limited human rights, a…
Feasible Action-Space Reduction as a Metric of Causal Responsibility in Multi-Agent Spatial Interactions
Ashwin George, Luciano Cavalcante Siebert, David Abbink +1
Modelling causal responsibility in multi-agent spatial interactions is crucial for safety and efficiency of interactions of humans with autonomous agents. However, current formal m…
MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response
Jasper van Tilburg, Luciano C. Siebert, Jochen L. Cremer
This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limit…