com.github.cschen1205:java-ai-minefield-navigator (maven): TD-FALCON is a fusion architecture that incorporates temporal difference methods and self-organizing neural networks for reinforcement learning with delayed rewards. It learns by creating cognitive codes across sensory input, actions, and rewards.
Keywords: adaptive-resonance-theory|agent-based-simulation|intelligent-agent|neural-network|reinforcement-learning