Qi Zhang

According to our database, Qi Zhang authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.

Dingyang Chen, Qi Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Packet-Level Throughput Analysis and Energy Efficiency Optimization for UAV-Assisted IAB Heterogeneous Cellular Networks.

Yue Zhang, Hangguan Shan, Meiyan Song, Howard H. Yang, Xuemin Shen, Qi Zhang, Xianhua He

IEEE Trans. Veh. Technol., July, 2023

Risk-aware analysis for interpretations of probabilistic achievement and maintenance commitments.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Artif. Intell., April, 2023

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.

Dingyang Chen, Qi Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games.

Dingyang Chen, Qi Zhang, Thinh T. Doan

CoRR, 2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media.

Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth

CoRR, 2022

Ensemble Policy Distillation with Reduced Data Distribution Mismatch.

Yuxiang Sun, Qi Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games.

Dingyang Chen, Yile Li, Qi Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Infused Policy Gradients for Adaptive Pandemic Control.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

Efficient Querying for Cooperative Probabilistic Commitments.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination.

Qi Zhang

PhD thesis, 2020

Semantics and algorithms for trustworthy commitment achievement under model uncertainty.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Auton. Agents Multi Agent Syst., 2020

Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Computational Strategies for the Trustworthy Pursuit and the Safe Modeling of Probabilistic Maintenance Commitments.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Learning to Communicate and Solve Visual Blocks-World Tasks.

Qi Zhang, Richard L. Lewis, Satinder Singh, Edmund H. Durfee

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Challenges in the Trustworthy Pursuit of Maintenance Commitments Under Uncertainty.

Qi Zhang, Edmund H. Durfee, Satinder Singh

Proceedings of the 20th International Trust Workshop co-located with AAMAS/IJCAI/ECAI/ICML 2018, 2018

2017

Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making.

Qi Zhang, Satinder Singh, Edmund H. Durfee

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Commitment Semantics for Sequential Decision Making under Reward Uncertainty.

Qi Zhang, Edmund H. Durfee, Satinder Singh, Anna Chen, Stefan J. Witwicki

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Quality-Driven Auction-Based Incentive Mechanism for Mobile Crowd Sensing.

Yutian Wen, Jinyu Shi, Qi Zhang, Xiaohua Tian, Zhengyong Huang, Hui Yu, Yu Cheng, Xuemin Shen

IEEE Trans. Veh. Technol., 2015

Incentivize crowd labeling under budget constraint.

Qi Zhang, Yutian Wen, Xiaohua Tian, Xiaoying Gan, Xinbing Wang

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015