A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments

Researchers develop neural memory agents using differentiable memory, meta-learning, and experience replay. The approach enables continuous learning in dynamic environments, preserving previous knowledge while adapting to new tasks using PyTorch implementation.