Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization

1 code implementation • 11 Nov 2022 • Burcu Küçükoğlu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven

Predictive processing is a popular theoretical framework which maintains that the human brain is actively seeking to minimize surprise.

Atari Games reinforcement-learning +1

P4O: Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization

no code implementations • 29 Sep 2021 • Burcu Küçükoğlu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven

Predictive processing is a popular theoretical framework which maintains that the human brain is actively seeking to minimize surprise.

Atari Games reinforcement-learning +1

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

no code implementations • 13 Dec 2016 • Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu, Michael Pfeiffer

Deep convolutional neural networks (CNNs) have shown great potential for numerous real-world machine learning applications, but performing inference in large CNNs in real-time remains a challenge.