6 papers
Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies
Hikmet Simsir, Ozgur S. Oguz
Behavior cloning with high-capacity generative policies achieves strong imitation performance, but is often limited by demonstration coverage and distribution shift. Direct reinfor…
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
Arda Sarp Yenicesu, Sepehr Nourmohammadi, Berk Cicek +1
This article introduces a novel heuristic for Task and Motion Planning (TAMP) named Interpretable Responsibility Sharing (IRS), which enhances planning efficiency in domestic robot…
SeGMan: Sequential and Guided Manipulation Planner for Robust Planning in 2D Constrained Environments
Cankut Bora Tuncer, Dilruba Sultan Haliloglu, Ozgur S. Oguz
In this paper, we present SeGMan, a hybrid motion planning framework that integrates sampling-based and optimization-based techniques with a guided forward search to address comple…
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection
Sepehr Nourmohammadi, Arda Sarp Yenicesu, Shervin Rahimzadeh Arashloo +1
This paper presents a novel approach to one-class classifier fusion through locally adaptive learning with dynamic p-norm constraints. We introduce a framework that dynamical…
H-MaP: An Iterative and Hybrid Sequential Manipulation Planner
Berk Cicek, Arda Sarp Yenicesu, Cankut Bora Tuncer +2
This paper introduces H-MaP, a hybrid sequential manipulation planner that addresses complex tasks requiring both sequential actions and dynamic contact mode switches. Our approach…
CUER: Corrected Uniform Experience Replay for Off-Policy Continuous Deep Reinforcement Learning Algorithms
Arda Sarp Yenicesu, Furkan B. Mutlu, Suleyman S. Kozat +1
The utilization of the experience replay mechanism enables agents to effectively leverage their experiences on several occasions. In previous studies, the sampling probability of t…