A survey of progress on cooperative multi-agent reinforcement learning in open environment
Multi-agent Reinforcement Learning (MARL) has gained wide attention in recent years and
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
Sim-to-real transfer for visual reinforcement learning of deformable object manipulation for robot-assisted surgery
Automation holds the potential to assist surgeons in robotic interventions, shifting their
mental work load from visuomotor control to high level decision making. Reinforcement …
mental work load from visuomotor control to high level decision making. Reinforcement …
LapGym-an open source framework for reinforcement learning in robot-assisted laparoscopic surgery
Recent advances in reinforcement learning (RL) have increased the promise of introducing
cognitive assistance and automation to robot-assisted laparoscopic surgery (RALS) …
cognitive assistance and automation to robot-assisted laparoscopic surgery (RALS) …
Guided reinforcement learning with efficient exploration for task automation of surgical robot
Task automation of surgical robot has the potentials to improve surgical efficiency. Recent
reinforcement learning (RL) based approaches provide scalable solutions to surgical …
reinforcement learning (RL) based approaches provide scalable solutions to surgical …
[HTML][HTML] A survey on multi-agent reinforcement learning and its application
Multi-agent reinforcement learning (MARL) has been a rapidly evolving field. This paper
presents a comprehensive survey of MARL and its applications. We trace the historical …
presents a comprehensive survey of MARL and its applications. We trace the historical …
Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects
Policy learning in robot-assisted surgery (RAS) lacks data efficient and versatile methods
that exhibit the desired motion quality for delicate surgical interventions. To this end, we …
that exhibit the desired motion quality for delicate surgical interventions. To this end, we …
Colonoscopy navigation using end-to-end deep visuomotor control: A user study
Flexible Endoscopes (FEs) for colonoscopy present several limitations due to their inherent
complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic FEs …
complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic FEs …
Rampart: Reinforcing autonomous multi-agent protection through adversarial resistance in transportation
In the field of multi-agent autonomous transportation, such as automated payload delivery or
highway on-ramp merging, agents routinely exchange knowledge to optimize their shared …
highway on-ramp merging, agents routinely exchange knowledge to optimize their shared …
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
Surgical context inference has recently garnered significant attention in robot-assisted
surgery as it can facilitate workflow analysis, skill assessment, and error detection. However …
surgery as it can facilitate workflow analysis, skill assessment, and error detection. However …
Hiding in plain sight: Differential privacy noise exploitation for evasion-resilient localized poisoning attacks in multiagent reinforcement learning
MT Hossain, H La - 2023 International Conference on Machine …, 2023 - ieeexplore.ieee.org
Lately, differential privacy (DP) has been introduced in cooperative multiagent reinforcement
learning (CMARL) to safe-guard the agents' privacy against adversarial inference during …
learning (CMARL) to safe-guard the agents' privacy against adversarial inference during …