Guangxiang Zhu

According to our database1, Guangxiang Zhu authored at least 12 papers between 2017 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

On the Estimation Bias in Double Q-Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalizable Episodic Memory for Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Bridging Imagination and Reality for Model-Based Deep 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
Object-Oriented Dynamics Learning through Multi-Level Abstraction.
CoRR, 2019

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

2018
Object-Oriented Dynamics Predictor.
CoRR, 2018

Object-Oriented Dynamics Predictor.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Generative Adversarial Mapping Networks.
CoRR, 2017


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