Learning multimodal representations involves integrating information fro...
Diffusion probabilistic models have shown great success in generating
hi...
Decentralized control schemes are increasingly favored in various domain...
Autonomous agents (robots) face tremendous challenges while interacting ...
Multi-Agent Reinforcement Learning (MARL) discovers policies that maximi...
In this paper, we consider a team of mobile robots executing simultaneou...
Prior work has looked at applying reinforcement learning and imitation
l...
Pretrained language models have demonstrated extraordinary capabilities ...
The promise of multimodal models for real-world applications has inspire...
This paper introduces a novel social preference-aware decentralized safe...
With the increasing need for safe control in the domain of autonomous
dr...
The ability for a human to understand an Artificial Intelligence (AI) mo...
Learning multimodal representations involves discovering correspondences...
With the increasing emphasis on the safe autonomy for robots, model-base...
Learning multimodal representations involves integrating information fro...
Autonomous vehicles face tremendous challenges while interacting with hu...
We report the discussion session at the sixth international Genetic
Impr...
Sailing robots provide a low-cost solution to conduct the ocean missions...