Kun Shao
16 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(10)
Reinforcement Learning
(7)
Methods
(5)
Learning Types
(4)
Application Areas
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Applications
(2)
Domain-Specific
(2)
Deep Learning
(1)
Natural Language Processing
(1)
Architectures
(1)
Learning Paradigms
(1)
Keywords
reinforcement learning
(6)
multi-agent system
(3)
large language model
(3)
multi-agent reinforcement learning
(3)
policy learning
(2)
multimodal large language model
(2)
autonomous driving
(2)
user interface
(2)
policy optimization
(2)
multimodal learning
(1)
bayesian sampling
(1)
language modeling
(1)
value function
(1)
multi-agent learning
(1)
egocentric vision
(1)
reward model
(1)
trajectory prediction
(1)
asynchronous training
(1)
determinantal point process
(1)
action prediction
(1)
Papers
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
AAAI 2026
AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search
AAAI 2026
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
AAAI 2026
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
ICLR 2025
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation
ICCV 2025
Lightweight Neural App Control
ICLR 2025
SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION
ICLR 2025
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control
ICML 2024
ChessGPT: Bridging Policy Learning and Language Modeling
NeurIPS 2023
Learning to Shape Rewards Using a Game of Two Partners
AAAI 2023
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
ICLR 2023
Traj-MAE: Masked Autoencoders for Trajectory Prediction
ICCV 2023
Multiagent Q-learning with Sub-Team Coordination
NeurIPS 2022
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System
CoRL 2022
Multi-Agent Determinantal Q-Learning
ICML 2020
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
CoRL 2020