QR-DQN

A new audit of distributional reinforcement learning agents finds that 40-95% of the strongest claimed risk trade-offs are refuted at 95% confidence across QR-DQN, C51, and IQN on MinAtar, with essent…

A new study on distributional reinforcement learning agents found that 40-95% of risk trade-off claims made by QR-DQN, C51, and IQN models on MinAtar were refuted at 95% confidence, suggesting that pe…