Research map / Reinforcement learning / MDPs and planning
Inverse Reinforcement Learning From Like-Minded Teachers
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use cross-entropy optimization to infer the ground-truth weight vector from observed optimal-arm frequencies | Inverse multi-armed bandit · Synthetic bandit with δ varied, σ=1, n=500 | optimal-arm recovery rate: 100% | Helped |
| Use cross-entropy optimization to infer the ground-truth weight vector from observed optimal-arm frequencies | Inverse multi-armed bandit · Synthetic bandit with σ varied, δ=1, n=500 | optimal-arm recovery rate: 100% | Helped |
| Estimate the optimal arm using the mode of observed teacher actions instead of the proposed optimization | Inverse multi-armed bandit · Synthetic bandit with δ varied, σ=1, n=500 | optimal-arm recovery rate: 0% | Hurt |
| Estimate the optimal arm using the mode of observed teacher actions instead of the proposed optimization | Inverse multi-armed bandit · Synthetic bandit with σ varied, δ=1, n=500 | optimal-arm recovery rate: 0% | Hurt |
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