Benchmarks
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Greatest papers with code
Weak Human Preference Supervision For Deep Reinforcement Learning
The current reward learning from human preferences could be used to resolve complex reinforcement learning (RL) tasks without access to a reward function by defining a single fixed preference between pairs of trajectory segments.