36 lines
1.0 KiB
Markdown
36 lines
1.0 KiB
Markdown
# First Pass
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**Category:**
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Simulation paper that talks about using a recovery controller in combination
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with a nominal controller that is learned. The boundary to swtich between
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the two is a learned boundary.
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**Context:**
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Drones
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**Correctness:**
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Not very. They do really well in the intro and methodology, but shit hits the fan
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when it comes to the results. They don't explain things well, and also don't
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really establish why their learned boundary between nominal and recovery
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controllers should be successful.
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**Contributions:**
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The biggest contributions these guys make is demonstrating feasibility of their
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reinforcement learned switching from the recovery controller and the nominal
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controller.
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**Clarity:**
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Well written until the whole thing came apart at the end.
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# Second Pass
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I read this a second time but I don't think it's worth it.
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Their main contribution is trying to use RL to learn when to switch to a
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recovery controller.
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# Third Pass
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**Recreation Notes:**
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**Hidden Findings:**
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**Weak Points? Strong Points?**
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