- Conference Chairs:
- Chih-Cheng Hung,
- Jiman Hong,
- Program Chairs:
- Alessio Bechini,
- Eunjee Song
SAC 2021 is fully sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), whose mission is to further the interests of computing professionals engaged in the design and development of new computing applications, interdisciplinary applications areas, and applied research.
Multi-agent reinforcement learning with directed exploration and selective memory reuse
Many tasks require cooperation and coordination of multiple agents. Multi-agent reinforcement learning (MARL) can effectively learn solutions to these problems, but exploration and local optima problems are still open research topics. In this paper, we ...
Cooperative place recognition in robotic swarms
In this paper we propose a study on landmark identification as a step towards a localization setup for real-world robotic swarms setup. In real world, landmark identification is often tackled as a place recognition problem through the use of ...
A spatio-temporal exposure correction neural network for autonomous vehicle
Overexposed and underexposed digital images may occur either by excess or deficiency of lighting during acquisition. These problems are common in uncontrolled environments, specially affecting the visual sensory of autonomous robotic vehicles outdoors. ...
FlatPack: flexible temporal planning with verification and controller synthesis
Efficient use of automated planning and scheduling has been proposed in the Industry 4.0 context involving multiple robotic agents. Temporal planners are typically employed with durative actions included for concurrent plan scheduling and execution. ...
Index Terms
- Proceedings of the 36th Annual ACM Symposium on Applied Computing