12:59
2026-07-14
arxiv.org
artificial-intelligence
Auditing the Risk Claims of Distributional Reinforcement Learning
A new audit of distributional reinforcement learning agents (QR-DQN, C51, IQN) on MinAtar and Atari games finds that 40-95% of the strongest claimed risk trade-offs are refuted at 95% confidence, withβ¦