Yuecheng Liu
Orcid: 0000-0002-3683-7959
According to our database1,
Yuecheng Liu
authored at least 17 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
CoRR, May, 2025
IEEE Trans. Neural Networks Learn. Syst., April, 2025
CoRR, February, 2025
Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation.
CoRR, February, 2025
SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning.
CoRR, January, 2025
2024
Data Efficient Deep Reinforcement Learning With Action-Ranked Temporal Difference Learning.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models.
CoRR, 2024
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning.
CoRR, 2024
SCALE: Self-Correcting Visual Navigation for Mobile Robots via Anti-Novelty Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023
2022
CoRR, 2022
2021
Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Exploration via Distributional Reinforcement Learning with Epistemic and Aleatoric Uncertainty Estimation.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021