4 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2023★ 4 cited
Loss Dynamics of Temporal Difference Reinforcement Learning
Blake Bordelon, Paul Masset, Henry Kuo +1
Reinforcement learning has been successful across several applications in which agents have to learn to act in environments with sparse feedback. However, despite this empirical su…
cs.NE2019
Reusability and Transferability of Macro Actions for Reinforcement Learning
Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo +1
Conventional reinforcement learning (RL) typically determines an appropriate primitive action at each timestep. However, by using a proper macro action, defined as a sequence of pr…