Author

Shrinivas Ramasubramanian

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Preprint Sep 2026

Tail-Likelihood Reinforcement Learning

Tail-Likelihood Reinforcement Learning (TailRL), which maximizes the log-probability of exceeding a randomly chosen reward threshold, which gives more weight to rare, high-reward rollouts and can be interpreted as a mixture of Best-of-k gradients.

Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar et al. · 1 citation