159 citations · 244 across the 28 of their papers we have counts for
3 papers · 1 filter
A Data-Driven Method for Recognizing Automated Negotiation Strategies
Ming Li, Pradeep K. Murukannaiah, Catholijn M. Jonker
Understanding an opponent agent helps in negotiating with it. Existing works on understanding opponents focus on preference modeling (or estimating the opponent's utility function)…
Synthesising Reinforcement Learning Policies through Set-Valued Inductive Rule Learning
Youri Coppens, Denis Steckelmacher, Catholijn M. Jonker +1
Today's advanced Reinforcement Learning algorithms produce black-box policies, that are often difficult to interpret and trust for a person. We introduce a policy distilling algori…
More Similar Values, More Trust? -- the Effect of Value Similarity on Trust in Human-Agent Interaction
Siddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman
As AI systems are increasingly involved in decision making, it also becomes important that they elicit appropriate levels of trust from their users. To achieve this, it is first im…