120 citations · 260 across the 12 of their papers we have counts for
4 papers · 1 filter
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…
On Hybrid Quantum and Classical Computing Algorithms for Mixed-Integer Programming
Chin-Yao Chang, Eric Jones, Yiyun Yao +2
Quantum computing is emerging as a new computing resource that could be superior to conventional computing for certain classes of optimization problems. However, in principle, most…
K-spin Hamiltonian for quantum-resolvable Markov decision processes
Eric B. Jones, Peter Graf, Eliot Kapit +1
The Markov decision process is the mathematical formalization underlying the modern field of reinforcement learning when transition and reward functions are unknown. We derive a ps…
On the Computational Viability of Quantum Optimization for PMU Placement
Eric B. Jones, Eliot Kapit, Chin-Yao Chang +4
Using optimal phasor measurement unit placement as a prototypical problem, we assess the computational viability of the current generation D-Wave Systems 2000Q quantum annealer for…