activity
20192026
most citedAccelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback

6 citations · 15 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.AI2026

NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability

Duo Xu, Faramarz Fekri

Recently Large Language Models (LLMs) have been increasingly deployed as autonomous agents in applications such as self-reflection, retrieval-augmented generation, and scientific d…

cs.IT2026

Goal-Oriented Logic-based Semantic Communication for Neuro-Symbolic Reasoning with Applications onto Autonomous Driving

Ahmet Faruk Saz, Duo Xu, Faramarz Fekri

We consider First-Order Logic (FOL)-based semantic communication for neuro-symbolic decision-making in collaborative environments such as autonomous driving networks. Each connecte…