Chen Chen

Affiliations:
  • Huawei, Noah's Ark Lab, Beijing, China
  • Huawei Technologies Company Ltd., Shannon Laboratory, Beijing, China


According to our database1, Chen Chen authored at least 18 papers between 2016 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start".
CoRR, 2023

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning.
CoRR, 2022

Rethinking Reinforcement Learning based Logic Synthesis.
CoRR, 2022

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines.
CoRR, 2021

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Addressing Action Oscillations through Learning Policy Inertia.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VEGA: Towards an End-to-End Configurable AutoML Pipeline.
CoRR, 2020

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.
CoRR, 2020

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

2017
Critical Connectivity and Fastest Convergence Rates of Distributed Consensus With Switching Topologies and Additive Noises.
IEEE Trans. Autom. Control., 2017

2016
Fast Encoding of Polar Codes With Reed-Solomon Kernel.
IEEE Trans. Commun., 2016


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