Research map / Reinforcement learning / Visual and representation RL
Catching heuristics are optimal control policies
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| double all distances in continuous tracking scenario | reactive optimal control policy · outfielder catch | agreement with heuristics (OAC, GOAC, CBA, LOT) | No clear effect |
| start agent so ball cannot be reached by running backwards or sideways (ablation) | optimal control policy · long-pass scenario | heuristics holding | Hurt |
| increase reaction time with reliable predictions (ablation) | optimal control policy · noise x delay sweep | strategy used | Mixed |
| increase system noise relative to observation noise (ablation) | optimal control policy · noise x delay sweep | number of turns toward ball | Helped |
| raise both reaction time and system noise (ablation) | optimal control policy · noise x delay sweep | interception success | Hurt |
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