Why Reward-Based RL Is Extremely Sample Inefficient

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A Turing Award winner explains that reward-only RL must keep testing the real world with no world model to fall back on, creating a sample efficiency floor

强化学习 reinforcement learning sample efficiency world model 奖励学习 reward-based RL research Twitter

Category: research

Author: @cybernetic_lab

Date: 2026-07-31T00:00:00

Duration: 6.041s

Source: https://x.com/cybernetic_lab/status/2083100359065801138

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