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Found 8 papers, 1 papers with code
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
We then apply these tools to single-agent and multi-agent environments to show the impact of introducing distribution shifts during test time.
A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events
Here, our notional operator may choose proxy actions to operate an interdependent system comprised of fuel terminals and gas stations (functioning as supplies) and a transportation network with traffic flow (functioning as demand) to minimize unmet demand at gas stations.
Deep Reinforcement Learning for Cyber System Defense under Dynamic Adversarial Uncertainties
Development of autonomous cyber system defense strategies and action recommendations in the real-world is challenging, and includes characterizing system state uncertainties and attack-defense dynamics.
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning
Search and Rescue (SAR) missions in remote environments often employ autonomous multi-robot systems that learn, plan, and execute a combination of local single-robot control actions, group primitives, and global mission-oriented coordination and collaboration.
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains
Conformal prediction is a widely used method to quantify the uncertainty of a classifier under the assumption of exchangeability (e. g., IID data).
Ad Hoc Teamwork in the Presence of Adversaries
Advances in ad hoc teamwork have the potential to create agents that collaborate robustly in real-world applications.
Lorenz System State Stability Identification using Neural Networks
We then test the ability of the neural network models to identify the stable and unstable states on a different Lorenz system that is generated using different initial conditions.
Constraints Satisfiability Driven Reinforcement Learning for Autonomous Cyber Defense
With the increasing system complexity and attack sophistication, the necessity of autonomous cyber defense becomes vivid for cyber and cyber-physical systems (CPSs).
