55 citations · 81 across the 18 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.AI2023
Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes
Yotam Amitai, Yael Septon, Ofra Amir
Explainable reinforcement learning (XRL) methods aim to help elucidate agent policies and decision-making processes. The majority of XRL approaches focus on local explanations, see…
cs.MA2023
Mitigating Skewed Bidding for Conference Paper Assignment
Inbal Rozencweig, Reshef Meir, Nick Mattei +1
The explosion of conference paper submissions in AI and related fields, has underscored the need to improve many aspects of the peer review process, especially the matching of pape…
cs.AI2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents
Yotam Amitai, Guy Avni, Ofra Amir
As reinforcement learning methods increasingly amass accomplishments, the need for comprehending their solutions becomes more crucial. Most explainable reinforcement learning (XRL)…