2 citations · 4 across the 8 of their papers we have counts for
3 papers · 1 filter
Which Rewards Matter? Reward Selection for Reinforcement Learning under Limited Feedback
Shreyas Chaudhari, Renhao Zhang, Philip S. Thomas +1
The ability of reinforcement learning algorithms to learn effective policies is determined by the rewards available during training. However, for practical problems, obtaining larg…
Reinforcement Learning for Quantum Network Control with Application-Driven Objectives
Guo Xian Yau, Alexandra Burushkina, Francisco Ferreira da Silva +3
Optimized control of quantum networks is essential for enabling distributed quantum applications with strict performance requirements. In near-term architectures with constrained h…
Qualia Optimization
Philip S. Thomas
This report explores the speculative question: what if current or future AI systems have qualia, such as pain or pleasure? It does so by assuming that AI systems might someday poss…