Co-occurring keywords · papers mentioning both
Papers
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
AAAI 2026
An Information-theoretic Perspective of Hierarchical Clustering on Graphs
UAI 2025
Eco Search: A No-delay Best-First Search Algorithm for Program Synthesis
AAAI 2025
Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
ICML 2025
Metric Distortion of Line-up Elections: The Right Person for the Right Job
AAAI 2025
Active Ranking and Matchmaking, with Perfect Matchings
ICML 2024
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
NeurIPS 2024
One-Shot Strategic Classification Under Unknown Costs
ICML 2024
Partial Optimality in the Linear Ordering Problem
ICML 2024
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)
AAAI 2024
Reducing Balancing Error for Causal Inference via Optimal Transport
ICML 2024
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
AAAI 2024
SafeDreamer: Safe Reinforcement Learning with World Models
ICLR 2024
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning
AAAI 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation
NeurIPS 2023
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
ICML 2023
Necessary and Sufficient Conditions for Inverse Reinforcement Learning of Bayesian Stopping Time Problems
JMLR 2023
Correcting Robot Plans with Natural Language Feedback
RSS 2022
Cost Ensemble with Gradient Selecting for GANs
IJCAI 2022
Exploring Safer Behaviors for Deep Reinforcement Learning
AAAI 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
CoRL 2022
Receding Horizon Inverse Reinforcement Learning
NeurIPS 2022
Optimal Cost Design for Model Predictive Control
L4DC 2021
Blur Aware Calibration of Multi-Focus Plenoptic Camera
CVPR 2020
Diffeomorphic Learning
JMLR 2020