Feature: Add support for integrating fuzzy logic with reinforcement learning (RL) algorithms.
Benefit: Fuzzy logic can help handle uncertainty in RL environments, improve exploration strategies, or interpret policy decisions.
Example: A fuzzy logic-based reward function that provides more nuanced feedback to an RL agent based on imprecise goals.
Feature: Add support for integrating fuzzy logic with reinforcement learning (RL) algorithms.
Benefit: Fuzzy logic can help handle uncertainty in RL environments, improve exploration strategies, or interpret policy decisions.
Example: A fuzzy logic-based reward function that provides more nuanced feedback to an RL agent based on imprecise goals.