Chao Yu

Orcid: 0000-0001-6975-0158

Affiliations:
  • Tsinghua University, China


According to our database1, Chao Yu authored at least 56 papers between 2017 and 2025.

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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

Toward Real-World Cooperative and Competitive Soccer with Quadrupedal Robot Teams.
CoRR, May, 2025

Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps.
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

Active Neural Topological Mapping for Multi-Agent Exploration.
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

Few-shot In-Context Preference Learning Using Large Language Models.
CoRR, 2024

Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning.
CoRR, 2024

A Survey on Self-play Methods in Reinforcement Learning.
CoRR, 2024

FlightBench: A Comprehensive Benchmark of Spatial Planning Methods for Quadrotors.
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

LAGOON: Language-Guided Motion Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.
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

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination.
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
TaskFlex Solver for Multi-Agent Pursuit via Automatic Curriculum Learning.
CoRR, 2023

MASP: Scalable GNN-based Planning for Multi-Agent Navigation.
CoRR, 2023

Language-Guided Generation of Physically Realistic Robot Motion and Control.
CoRR, 2023

Automatic Truss Design with Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased.
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

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation.
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
INCAME: Interruptible CNN Accelerator for Multirobot Exploration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Benchmark of Planning-based Exploration Methods in Photo-Realistic 3D Simulator.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

SAVE: Spatial-Attention Visual Exploration.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Efficient Multi-agent Cooperative Visual Exploration.
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

The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games.
CoRR, 2021

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator.
IEEE Access, 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unlocking the Potential of MAPPO with Asynchronous Optimization.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
CNN-based Monocular Decentralized SLAM on embedded FPGA.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

CNN-based Feature-point Extraction for Real-time Visual SLAM on Embedded FPGA.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
A DenseNet feature-based loop closure method for visual SLAM system.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018
DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017
Multi-robot coordination for high-speedpick-and-place tasks.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017


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