13 citations · 60 across the 24 of their papers we have counts for
4 papers · 1 filter
Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents
Bengisu Guresti, Nazim Kemal Ure
Multi-agent Reinforcement Learning (MARL) problems often require cooperation among agents in order to solve a task. Centralization and decentralization are two approaches used for…
Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns
A. Sadik Satir, Umut Demir, Gulay Goktas Sever +1
In this work, we propose a novel missile guidance algorithm that combines deep learning based trajectory prediction with nonlinear model predictive control. Although missile guidan…
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions
Anil Ozturk, Mustafa Burak Gunel, Resul Dagdanov +4
Applications of reinforcement learning (RL) are popular in autonomous driving tasks. That being said, tuning the performance of an RL agent and guaranteeing the generalization perf…
PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation
Reyhan Kevser Keser, Aydin Ayanzadeh, Omid Abdollahi Aghdam +3
One of the most efficient methods for model compression is hint distillation, where the student model is injected with information (hints) from several different layers of the teac…