Now run the agent experiment twice (usual settings - 2000 episodes/1000 max steps/seed2026):

• use the (improved in the previous question) Slippery Decay policy on the slippery environment
• use the Non-Slippery Decay policy on the slippery environment

How does the non-slippery policy perform in the slippery environment? Write how often the slippery agent manages to reach the goal compared the the non-slippery one. What might be the reason behind the difference in performance between the two policies? How does the non-slippery agent try to tackle the environment compared to the slippery one?