Articles with public access mandates - Xinyun ZouLearn more
Not available anywhere: 1
Adapting to Environment Changes Through Neuromodulation of Reinforcement Learning
J Xing, X Zou, PK Pilly, NA Ketz, JL Krichmar
International Conference on Simulation of Adaptive Behavior, 115-126, 2022
Mandates: US National Science Foundation, US Department of Defense
Available somewhere: 10
Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...
Nature Machine Intelligence 4 (3), 196-210, 2022
Mandates: US Department of Energy, US Department of Defense
Domain adaptation in reinforcement learning via latent unified state representation
J Xing, T Nagata, K Chen, X Zou, E Neftci, JL Krichmar
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10452 …, 2021
Mandates: US National Science Foundation, US Department of Defense
Neurorobots as a means toward neuroethology and explainable AI
K Chen, T Hwu, HJ Kashyap, JL Krichmar, K Stewart, J Xing, X Zou
Frontiers in Neurorobotics 14, 570308, 2020
Mandates: US National Science Foundation, US Department of Defense
Attention-based structural-plasticity
S Kolouri, N Ketz, X Zou, J Krichmar, P Pilly
arXiv preprint arXiv:1903.06070, 2019
Mandates: US Department of Defense
A complete neuromorphic solution to outdoor navigation and path planning
T Hwu, J Krichmar, X Zou
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
Mandates: US National Science Foundation, US Department of Defense
Neuromodulated patience for robot and self-driving vehicle navigation
J Xing, X Zou, JL Krichmar
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
Mandates: US Department of Defense
Neuromodulated attention and goal-driven perception in uncertain domains
X Zou, S Kolouri, PK Pilly, JL Krichmar
Neural Networks 125, 56-69, 2020
Mandates: US Department of Defense
Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment
X Zou, E Scott, A Johnson, K Chen, D Nitz, K De Jong, J Krichmar
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
Mandates: US Department of Defense
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization
J Xing, T Nagata, X Zou, E Neftci, JL Krichmar
Neural Networks 161, 228-241, 2023
Mandates: US National Science Foundation, US Department of Defense
Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks
K Chen, A Johnson, EO Scott, X Zou, KA De Jong, DA Nitz, JL Krichmar
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Mandates: US Department of Defense
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