Search Results for author:
Found 7 papers, 3 papers with code
Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset
Handing in a paper or exercise and merely receiving “bad” or “incorrect” as feedback is not very helpful when the goal is to improve.
Federated Learning with Heterogeneous Data Handling for Robust Vehicular Object Detection
In this paper, we introduce FedProx+LA, a novel FL method building upon the state-of-the-art FedProx and FedLA to tackle data heterogeneity, which is specifically tailored for vehicular networks.
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing
The size of the observed neighborhood limits the generalizability to different graphs and affects the reactivity of agents, the quality of the selected actions, and the communication overhead.
Learning to Cooperate and Communicate Over Imperfect Channels
In addition to this message size selection, agents learn to encode and decode messages to improve their jointly trained policies.
Know your Enemy: Investigating Monte-Carlo Tree Search with Opponent Models in Pommerman
In combination with Reinforcement Learning, Monte-Carlo Tree Search has shown to outperform human grandmasters in games such as Chess, Shogi and Go with little to no prior domain knowledge.
Roadmap for Edge AI: A Dagstuhl Perspective
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI.
I Do Not Understand What I Cannot Define: Automatic Question Generation With Pedagogically-Driven Content Selection
However, generating questions automatically poses linguistic and pedagogical challenges.
