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Benchmarks and Algorithms for Offline Preference-Based Reward Learning
Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical rollouts in the environment.
Offline Preference-Based Apprenticeship Learning
Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical rollouts in the environment.
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