Qi Zhang

Orcid: 0000-0002-8562-5987

Affiliations:
  • University of South Carolina, SC, USA
  • University of Michigan, Ann Arbor, MI, USA (former)
  • Shanghai Jiao Tong University, Shanghai, China (former)


According to our database1, Qi Zhang authored at least 20 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Risk-aware analysis for interpretations of probabilistic achievement and maintenance commitments.
Artif. Intell., April, 2023

E(3)-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning.
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.
CoRR, 2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media.
CoRR, 2022

Ensemble Policy Distillation with Reduced Data Distribution Mismatch.
Proceedings of the International Joint Conference on Neural Networks, 2022

Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Infused Policy Gradients for Adaptive Pandemic Control.
Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

Efficient Querying for Cooperative Probabilistic Commitments.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Making and Keeping Probabilistic Commitments for Trustworthy Multiagent Coordination.
PhD thesis, 2020

Semantics and algorithms for trustworthy commitment achievement under model uncertainty.
Auton. Agents Multi Agent Syst., 2020

Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement.
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.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Challenges in the Trustworthy Pursuit of Maintenance Commitments Under Uncertainty.
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.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Commitment Semantics for Sequential Decision Making under Reward Uncertainty.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Quality-Driven Auction-Based Incentive Mechanism for Mobile Crowd Sensing.
IEEE Trans. Veh. Technol., 2015

Incentivize crowd labeling under budget constraint.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015


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