418 citations · 1.4k across the 24 of their papers we have counts for
24 papers
Tomography of Quantum States from Structured Measurements via quantum-aware transformer
Hailan Ma, Zhenhong Sun, Daoyi Dong +2
Quantum state tomography (QST) is the process of reconstructing the state of a quantum system (mathematically described as a density matrix) through a series of different measureme…
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Zhi Wang, Chunlin Chen, Daoyi Dong
While reinforcement learning (RL) algorithms are achieving state-of-the-art performance in various challenging tasks, they can easily encounter catastrophic forgetting or interfere…
Efficient Bayesian Policy Reuse with a Scalable Observation Model in Deep Reinforcement Learning
Jinmei Liu, Zhi Wang, Chunlin Chen +1
Bayesian policy reuse (BPR) is a general policy transfer framework for selecting a source policy from an offline library by inferring the task belief based on some observation sign…
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation
Donghan Xie, Zhi Wang, Chunlin Chen +1
Multi-agent settings remain a fundamental challenge in the reinforcement learning (RL) domain due to the partial observability and the lack of accurate real-time interactions acros…
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space Reduction
Yuanyang Zhu, Zhi Wang, Chunlin Chen +1
For real-world deployments, it is critical to allow robots to navigate in complex environments autonomously. Traditional methods usually maintain an internal map of the environment…
Deep Reinforcement Learning with Quantum-inspired Experience Replay
Qing Wei, Hailan Ma, Chunlin Chen +1
In this paper, a novel training paradigm inspired by quantum computation is proposed for deep reinforcement learning (DRL) with experience replay. In contrast to traditional experi…