Chao Yu
Orcid: 0000-0001-6975-0158Affiliations:
- Tsinghua University, China
According to our database1,
Chao Yu
authored at least 56 papers
between 2017 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., August, 2025
FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation.
IEEE Robotics Autom. Lett., July, 2025
Neural Internal Model Control: Learning a Robust Control Policy Via Predictive Error Feedback.
IEEE Robotics Autom. Lett., July, 2025
What Matters in Learning a Zero-Shot Sim-to-Real RL Policy for Quadrotor Control? A Comprehensive Study.
IEEE Robotics Autom. Lett., July, 2025
Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance.
CoRR, July, 2025
VS-Bench: Evaluating VLMs for Strategic Reasoning and Decision-Making in Multi-Agent Environments.
CoRR, June, 2025
CoRR, May, 2025
CoRR, May, 2025
Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning.
CoRR, May, 2025
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models.
CoRR, March, 2025
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization.
CoRR, February, 2025
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play.
CoRR, February, 2025
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network.
CoRR, February, 2025
2024
SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging with Neural Networks Based on Ballistocardiograms.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024
IEEE Robotics Autom. Lett., January, 2024
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control.
IEEE Robotics Autom. Lett., 2024
Multi-UAV Behavior-based Formation with Static and Dynamic Obstacles Avoidance via Reinforcement Learning.
CoRR, 2024
Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning.
CoRR, 2024
CoRR, 2024
CityLight: A Universal Model Towards Real-world City-scale Traffic Signal Control Coordination.
CoRR, 2024
Long-horizon Locomotion and Manipulation on a Quadrupedal Robot with Large Language Models.
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022
2021
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward.
CoRR, 2021
Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator.
IEEE Access, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
2020
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017