generalization capabilities

[Yuanzizizi]

We are interested in understanding more about the generalization capabilities of your algorithm. Specifically, we have noticed that when testing in scenarios where the robot's position or the strategies of other humans have been altered, the performance seems to degrade significantly. Could you provide insights into why such changes in the environment or agent behaviors affect the effectiveness of the algorithm? We are curious to know if there are any strategies or techniques employed to enhance the algorithm's adaptability to varying scenarios and environmental conditions. Any information regarding the algorithm's robustness and its ability to generalize across different scenarios would be greatly appreciated.