HIGHLIGHTS
- who: Yoshimasa Kubo and Artur Luczak from the Pukyong National University, Japan have published the article: Combining backpropagation with Equilibrium Propagation to improve an Actor-Critic reinforcement learning framework, in the Journal: (JOURNAL)
- what: The authors explore an Actor-Critic architecture trained by both BP and by braininspired modification of EP proposed by Luczak et_al . This study provides two contributions: Actor-Critic is a two-part architecture for reinforcement learning. The authors demonstrate that the architecture can solve several control tasks, and that its learned behaviors are more consistently rewarding than behaviors learned using BP . . .
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