Zichuan Lin

According to our database1, Zichuan Lin authored at least 20 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learning Versatile Skills with Curriculum Masking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
A Survey on Transformers in Reinforcement Learning.
Trans. Mach. Learn. Res., 2023

Replay-enhanced Continual Reinforcement Learning.
Trans. Mach. Learn. Res., 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.
CoRR, 2023

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization.
CoRR, 2023

Future-conditioned Unsupervised Pretraining for Decision Transformer.
Proceedings of the International Conference on Machine Learning, 2023

2022
Pretraining in Deep Reinforcement Learning: A Survey.
CoRR, 2022

Revisiting Discrete Soft Actor-Critic.
CoRR, 2022

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System.
CoRR, 2021


2020
RD$^2$: Reward Decomposition with Representation Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model-based Adversarial Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Episodic Reinforcement Learning with Associative Memory.
Proceedings of the 8th International Conference on Learning Representations, 2020

Object-Oriented Dynamics Learning through Multi-Level Abstraction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributional Reward Decomposition for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unified Policy Optimization for Robust Reinforcement Learning.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Episodic Memory Deep Q-Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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