Memory consolidation via network parsimony: 96x faster than PageRank

This GitHub repository introduces a novel Topological Reinforcement Operator (TRO) that can be used to improve the performance of reinforcement learning agents in complex environments. The TRO leverages topological features of the environment to guide the learning process and has been demonstrated to outperform traditional reinforcement learning approaches.