Lu Feng
13 papers · 2015–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(60)
Top co-authors
Research topics
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(5)
Reinforcement Learning
(5)
Methods Β· Reinforcement Learning
(4)
Application Areas
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Methods Β· Data Science & Analytics
(1)
Optimization & Theory
(1)
Keywords
multi-agent reinforcement learning
(3)
reinforcement learning
(3)
policy explanation
(2)
reward function
(2)
agent cooperation
(2)
signal temporal logic
(2)
bayesian inference
(1)
explainable ai
(1)
maximum entropy
(1)
autonomous driving
(1)
interpretable machine learning
(1)
ai safety
(1)
inverse reinforcement learning
(1)
formal verification
(1)
model selection
(1)
sequential prediction
(1)
sequence prediction
(1)
data augmentation
(1)
relational model
(1)
visual attention
(1)
Papers
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
AAAI 2026
Adaptive Reward Design for Reinforcement Learning
UAI 2025
Counterfactual Explanations for Continuous Action Reinforcement Learning
IJCAI 2025
Quantitative Predictive Monitoring and Control for Safe Human-Machine Interaction
AAAI 2025
Towards Computational Foreseeability
AAAI 2025
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
AAAI 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
IJCAI 2024
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
IJCAI 2023
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
NeurIPS 2023
Toward Policy Explanations for Multi-Agent Reinforcement Learning
IJCAI 2022
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
ICCV 2021
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks
NeurIPS 2020
Scalable Model Selection for Large-Scale Factorial Relational Models
ICML 2015