On-policy learning updates the policy based on actions taken by the current policy, while off-policy learning can learn from actions taken by a different policy.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the difference between 'on-policy' and 'off-policy' learning?
Solution: On-policy learning updates the policy based on actions taken by the current policy, while off-policy learning can learn from actions taken by a different policy.
Steps: 4
Step 1: Understand that 'policy' means a strategy or a set of rules that decides what actions to take in a situation.
Step 2: In 'on-policy' learning, the learning process uses the actions taken by the current policy to improve itself.
Step 3: In 'off-policy' learning, the learning process can use actions taken by a different policy, not just the current one.
Step 4: Think of 'on-policy' as learning from your own experiences, while 'off-policy' is like learning from someone else's experiences.
