Jian Zhao

Orcid: 0000-0003-4895-990X

Affiliations:
  • University of Science and Technology of China, Department of Electronic Engineering and Information Science, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, China


According to our database1, Jian Zhao authored at least 22 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
CTDS: Centralized Teacher With Decentralized Student for Multiagent Reinforcement Learning.
IEEE Trans. Games, March, 2024

2023
Improving Deep Reinforcement Learning With Mirror Loss.
IEEE Trans. Games, September, 2023

DanZero+: Dominating the GuanDan Game through Reinforcement Learning.
CoRR, 2023

Discriminative Experience Replay for Efficient Multi-agent Reinforcement Learning.
CoRR, 2023

Q-SAT: Value Factorization with Self-Attention for Deep Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

DanZero: Mastering GuanDan Game with Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2023

Mastering Curling with RL-revised Decision Tree.
Proceedings of the IEEE Conference on Games, 2023

Implementing First-Person Shooter Game AI in WILD-SCAV with Rule-Enhanced Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Games, 2023

2022
Conditional Sentence Generation and Cross-Modal Reranking for Sign Language Translation.
IEEE Trans. Multim., 2022

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents.
Frontiers Inf. Technol. Electron. Eng., 2022

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling.
CoRR, 2022

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning.
CoRR, 2022

Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking.
CoRR, 2022

DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning.
CoRR, 2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization.
CoRR, 2022

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Mastering the Game of 3v3 Snakes with Rule-Enhanced Multi-Agent Reinforcement Learning.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Semantic Boundary Detection With Reinforcement Learning for Continuous Sign Language Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2021

State Representation Learning With Adjacent State Consistency Loss for Deep Reinforcement Learning.
IEEE Multim., 2021

Interest-aware Item Combination Prediction.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
State Representation Learning For Effective Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020


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