A dark-lucid reinforcement learning architecture that learns, dreams, and acts through latent world models, causal verification, and memory-anchored adaptation under uncertainty.
deep-reinforcement-learning mcts uncertainty-estimation cognitive-architecture ppo dream-consolidation latent-world-models causal-verification memory-anchored-adaptation neuromorphic-continual-learning
-
Updated
Mar 23, 2026 - Jupyter Notebook