Hybrid Behavior Tree and Reinforcement Learning for Adaptive Combat Agents in Real-Time 3D Game
The design of fully autonomous agents that are capable of adaptive and realistic combat behavior in a 3D environment is still a big challenge in developing game AI. Reinforcement Learning agents pose issues like erratic behaviour outside of their training distribution. At the same time, rule-based agents are easy to un...