Reinforcement learning (RL) in safety-critical environments requires an ...
Autonomous systems are often deployed in complex sociotechnical environm...
Recurrent neural networks (RNNs) have emerged as an effective representa...
We study strategy synthesis for partially observable Markov decision
pro...
We study planning problems where autonomous agents operate inside
enviro...
Many proteoforms - arising from alternative splicing, post-translational...