Reinforcement learning (RL) has recently proven itself as a powerful
ins...
Achieving and maintaining cooperation between agents to accomplish a com...
Development of guidance, navigation and control frameworks/algorithms fo...
In this work, we propose a self-improving artificial intelligence system...
Safely navigating through an urban environment without violating any tra...
In this work we propose a reinforcement learning (RL) framework that con...
Collision avoidance in the presence of dynamic obstacles in unknown
envi...
In this study, we address the problem of efficient exploration in
reinfo...
As AI-enabled software systems become more prevalent in smart manufactur...
Multi-agent Reinforcement Learning (MARL) problems often require coopera...
Applications of reinforcement learning (RL) are popular in autonomous dr...
We propose a novel knowledge distillation methodology for compressing de...
This paper introduces a decentralized state-dependent Markov chain synth...
This paper introduces a probabilistic guidance approach for the
swarm-to...
The objective of this paper is to develop a sample efficient end-to-end ...
Automated lane changing is a critical feature for advanced autonomous dr...
Autonomous lane changing is a critical feature for advanced autonomous
d...