3 papers
cs.LG2024
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…
cs.RO2023
Neural Field Representations of Articulated Objects for Robotic Manipulation Planning
Phillip Grote, Joaquim Ortiz-Haro, Marc Toussaint +1
Traditional approaches for manipulation planning rely on an explicit geometric model of the environment to formulate a given task as an optimization problem. However, inferring an…
cs.RO2023
Spatial Reasoning via Deep Vision Models for Robotic Sequential Manipulation
Hongyou Zhou, Ingmar Schubert, Marc Toussaint +1
In this paper, we propose using deep neural architectures (i.e., vision transformers and ResNet) as heuristics for sequential decision-making in robotic manipulation problems. This…