8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Tiered Reward: Designing Rewards for Specification and Fast Learning of Desired Behavior
Zhiyuan Zhou, Shreyas Sundara Raman, Henry Sowerby +1
Reinforcement-learning agents seek to maximize a reward signal through environmental interactions. As humans, our job in the learning process is to design reward functions to expre…
cs.LG2022★ 8 cited
Designing Rewards for Fast Learning
Henry Sowerby, Zhiyuan Zhou, Michael L. Littman
To convey desired behavior to a Reinforcement Learning (RL) agent, a designer must choose a reward function for the environment, arguably the most important knob designers have in…