Commonsense Rl

The application of commonsense reasoning in reinforcement learning (RL) agents, referred to as Commonsense Reasoning for RL, involves integrating natural language processing techniques to enable RL agents to understand and apply commonsense knowledge in decision-making. This approach aims to enhance the adaptability and generalization capabilities of agents in complex environments, allowing them to make reasonable judgments when encountering unseen scenarios. This research direction is of great significance for developing more intelligent and autonomous RL systems, with broad applications in areas such as robot navigation and intelligent recommendation.