Tianpei Yang

According to our database¹, Tianpei Yang authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2024

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ASN: action semantics network for multiagent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., October, 2023

Transfer Reinforcement Learning Based Negotiating Agent Framework.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Transfer Learning based Agent for Automated Negotiation.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning to Shape Rewards Using a Game of Two Partners.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding.

[BibT_eX]

[DOI]

Neurocomputing, 2022

NeurIPS 2022 Competition: Driving SMARTS.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training.

[BibT_eX]

[DOI]

Taher Jafferjee

Juliusz Krysztof Ziomek

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.

[BibT_eX]

[DOI]

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

2021

A Survey on Interpretable Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction.

[BibT_eX]

[DOI]

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Driving SMARTS Competition at NeurIPS 2022: Insights and Outcome.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Virtually-Extended Proprioception: Providing Spatial Reference in VR through an Appended Virtual Limb.

[BibT_eX]

[DOI]

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Interactive RL via Online Human Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.

[BibT_eX]

[DOI]

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

2019

Augmented Reality Guided Respiratory Liver Tumors Punctures: A Preliminary Feasibility Study.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2019 Technical Briefs, 2019

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[BibT_eX]

[DOI]

CoRR, 2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Tianpei Yang

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On csauthors.net:

Bibliography

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