Siyuan Li

Affiliations:
  • Harbin Institute of Technology, Faculty of Computing, China
  • Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China (former)


According to our database1, Siyuan Li authored at least 11 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
IOB: integrating optimization transfer and behavior transfer for multi-policy reuse.
Auton. Agents Multi Agent Syst., June, 2024

2023
Learning to Solve Tasks with Exploring Prior Behaviours.
IROS, 2023

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CUP: Critic-Guided Policy Reuse.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Hierarchical Exploration with Stable Subgoal Representation Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning.
CoRR, 2021

Offline Reinforcement Learning with Reverse Model-based Imagination.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Subgoal Representations with Slow Dynamics.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Context-Aware Policy Reuse.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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