Yuecheng Liu

Orcid: 0000-0002-3683-7959

According to our database1, Yuecheng Liu authored at least 12 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.
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

Action Set Based Policy Optimization for Safe Power Grid Management.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Multi-agent Pathfinding with Local and Global Guidance.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Efficient Power Grid Topology Control via Two-Stage Action Search.
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


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