Research map / Reinforcement learning / Visual and representation RL
Inferring learning rules from animal decision-making
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add per-weight baselines to REINFORCE (ablation) | REINFORCE with K learning rates · 13 IBL mice | average fraction of weight update in learning direction: 0.30 -> 0.92 | Helped |
| use separate learning rate per weight instead of a single shared rate (ablation) | REINFORCE · 13 IBL mice | AIC (lower better) | Helped |
Closest papers by meaning
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