S2Act: Simple Spiking Actor

Intrinsic Reward Policy Optimization for Sparse-Reward Environments

Contraction Actor-Critic: Contraction Metric-Guided Reinforcement Learning for Robust Path Tracking

SF-ODNav: Successor Feature Framework for Map-less Target-Driven Outdoor Visual Navigation

Zero-Shot Coordination in Ad Hoc Teams with Generalized Policy Improvement and Difference Rewards

Context-Aware Inefficiency of Self-Interested Agents in UAV Wildfire Fighting

Neuro-Symbolic Generation of Explanations for Robot Policies with Weighted Signal Temporal Logic

Survey of Inverse Reinforcement Learning in Aviation and Future Outlooks

Pathfinders in the Sky: Formal Decision-Making Models for Collaborative Air Traffic Control in Convective Weather

A Survey of Current Applications of Inverse Reinforcement Learning in Aviation and Future Outlooks

Inefficiency of Self-Interested Behaviour in Markov Games: State-Dependent Price of Anarchy

On Generating Explanations for Reinforcement Learning Policies: An Empirical Study

Coordination Machines for Minimizing Communication in Multi-Agent Reinforcement Learning

WayFAST: Traversability Predictive Navigation for Field Robots

D-AnoGAN: Anomaly Detection in Disconnected Data Manifolds with Generative Adversarial Networks

Disentangling Successor Features for Coordination in Multi-agent Reinforcement Learning

Feature Specialization and Clustering Improves Hierarchical Sub-task Learning

A Complex Network Framework for Validated Assessments of Systems of Systems Robustness

Social sensing: Towards social media as a sensor for resilience in power systems and other critical infrastructures

Data-driven Analysis of Resilience in Airline Networks

Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks

Evaluating Adaptation Performance of Hierarchical Deep Reinforcement Learning

Operational Perspectives into the Resilience of the US Air Transportation Network Against Intelligent Attacks

An Artificial Neural Network Approach to Generating High-Resolution Designs from Low-Resolution Input in Topology Optimization

Parametric Design of Resilient Complex Networked Systems

Application of a Defender-Attacker-Defender Model to the U.S. Air Transportation Network

Machine Learning Prediction of Airport Delays in the US Air Transportation Network

Data-driven Resilience Quantification of the US Airline Network

Toward Scaling Model-Based Engineering for Systems of Systems

Designing Resilient System-of-Systems Networks

A framework for the quantitative assessment of performance-based system resilience

A Network-based Cost Comparison of Resilient and Robust System-of-Systems

Evaluating the agility of adaptive command and control networks from a cyber complex adaptive systems perspective

A System-of-Systems Approach for Assessing the Resilience of Reconfigurable Command and Control Networks

Metrics-based Analysis and Evaluation Framework for Engineering Resilient Systems

Trade-offs Between Command and Control Architectures and Force Capabilities Using Battlespace Awareness