Zhang-Wei Hong

According to our database1, Zhang-Wei Hong authored at least 24 papers between 2017 and 2023.

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Bibliography

2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity.
CoRR, 2023

Neuro-Inspired Efficient Map Building via Fragmentation and Recall.
CoRR, 2023

Decentralized Inference via Capability Type Structures in Cooperative Multi-Agent Systems.
CoRR, 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model Predictive Control via On-Policy Imitation Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023

TGRL: An Algorithm for Teacher Guided Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation.
Proceedings of the International Conference on Machine Learning, 2023

Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Bilinear value networks.
CoRR, 2022

Redeeming intrinsic rewards via constrained optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stubborn: A Strong Baseline for Indoor Object Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Bi-linear Value Networks for Multi-goal Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Topological Experience Replay.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Mixture of Step Returns in Bootstrapped DQN.
CoRR, 2020

2019
Model-based Lookahead Reinforcement Learning.
CoRR, 2019

Adversarial Active Exploration for Inverse Dynamics Model Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Adversarial Exploration Strategy for Self-Supervised Imitation Learning.
CoRR, 2018

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Virtual-to-Real: Learning to Control in Visual Semantic Segmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Diversity-Driven Exploration Strategy for Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Deep Policy Inference Q-Network for Multi-Agent Systems.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.
Proceedings of the 5th International Conference on Learning Representations, 2017


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