Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization
Abstract Multi-agent Reinforcement Learning (MARL) models teams of agents that learn by
dynamically interacting with an environment and each other, presenting opportunities to …
dynamically interacting with an environment and each other, presenting opportunities to …
[PDF][PDF] Training Reinforcement Learning Agents to React to an Ambush for Military Simulations
There is a need for realistic Opposing Forces (OPFOR) behavior in military training
simulations. Current training simulations generally only have simple, non-adaptive …
simulations. Current training simulations generally only have simple, non-adaptive …