Xiaotian Hao

Orcid: 0000-0002-3084-8366

According to our database1, Xiaotian Hao authored at least 33 papers between 2014 and 2024.

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

Timeline

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Links

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Bibliography

2024
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ASN: action semantics network for multiagent reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods.
ACM Trans. Database Syst., 2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR, 2022

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.
CoRR, 2022

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
Proceedings of the International Conference on Machine Learning, 2022

2021
Towards robust and domain agnostic reinforcement learning competitions.
CoRR, 2021

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition.
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

2020
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol., 2020

Combining sequence and network information to enhance protein-protein interaction prediction.
BMC Bioinform., 2020


Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
Proceedings of the 8th International Conference on Learning Representations, 2020

Large Scale Deep Reinforcement Learning in War-games.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Integrating Sequence and Network Information to Enhance Protein-Protein Interaction Prediction Using Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Effective norm emergence in cell systems under limited communication.
BMC Bioinform., 2018

2017
Towards a Query-Less News Search Framework on Twitter.
Proceedings of the Database Systems for Advanced Applications, 2017

Effective norm emergence in cell systems under limited communication.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2014
ADI: Towards a Framework of App Developer Inspection.
Proceedings of the Database Systems for Advanced Applications, 2014


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