Shangqi Guo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Hierarchical Bayesian

Geodesic Metric

General Intelligence

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Yu Tang, Shangqi Guo, Jinhui Liu, Bo Wan, Lingling An, Jian K. Liu
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering. Knowl. Based Syst. 294 (2024)
Zheng Sun, Chenheng Jing, Shangqi Guo, Lingling An
PAC-Bayesian offline Meta-reinforcement learning. Appl. Intell. 53 (22) (2023)
Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI (2023)
Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. CoRR (2022)
Zhile Yang, Shangqi Guo, Ying Fang, Jian Liu
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. BMVC (2022)
Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. 52 (4) (2022)
Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Jinsheng Ren, Shangqi Guo, Feng Chen
Orientation-Preserving Rewards' Balancing in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS (2021)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR (2021)
Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
Subjective Learning for Open-Ended Data. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS (2020)
Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
Task Understanding from Confusing Multi-task Data. ICML (2020)
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50 (3) (2020)
Xin Su, Shangqi Guo, Tian Tan, Feng Chen
Generative Memory for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video. Appl. Intell. 50 (12) (2020)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR (2020)
Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49 (1) (2019)
Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen
Transferable Environment Model With Disentangled Dynamics. IEEE Access 7 (2019)
Xin Su, Shangqi Guo, Feng Chen
Subjectivity Learning Theory towards Artificial General Intelligence. CoRR (2019)