4 papers
Orchestrating Level- Policies Against Unknown Opponents in Partially-Observable Dynamic Games
Addison Kalanther, Sanika Bharvirkar, Daniel Bostwick +2
Level- reasoning generates a hierarchy of policies specialized to opponents with different reasoning levels. When an opponent's level is unknown, a common deployment rule estima…
NePPO: Near-Potential Policy Optimization for General-Sum Multi-Agent Reinforcement Learning
Addison Kalanther, Sanika Bharvirkar, Shankar Sastry +1
Multi-agent reinforcement learning (MARL) is increasingly used to design learning-enabled agents that interact in shared environments. However, training MARL algorithms in general-…
Evader-Agnostic Team-Based Pursuit Strategies in Partially-Observable Environments
Addison Kalanther, Daniel Bostwick, Chinmay Maheshwari +1
We consider a scenario where a team of two unmanned aerial vehicles (UAVs) pursue an evader UAV within an urban environment. Each agent has a limited view of their environment wher…
Coordinated Autonomous Drones for Human-Centered Fire Evacuation in Partially Observable Urban Environments
Maria G. Mendoza, Addison Kalanther, Daniel Bostwick +3
Autonomous drone technology holds significant promise for enhancing search and rescue operations during evacuations by guiding humans toward safety and supporting broader emergency…