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Arxiv
2d
82
Image Credit: Arxiv
Horizon Reduction Makes RL Scalable
- Study focuses on the scalability of offline reinforcement learning (RL) algorithms.
- Current offline RL algorithms show poor scaling behavior despite scaling up data.
- Long horizons identified as the main cause behind poor scaling of offline RL.
- Horizon reduction techniques, like SHARSA, enhance scalability on challenging tasks.
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