Biological Neurons Vs Deep Reinforcement Learning
Jum, 05 Mei
|Kota Jakarta Selatan
Kindly join us for an exciting evening of networking and discussion on how AI is revolutionizing healthcare with Arogya.ai. Our ice breaker topic is "Biological Neurons Vs Deep Reinforcement Learning".
Time & Location
05 Mei 2023, 17.00 – 19.00 WIB
Kota Jakarta Selatan, A25, Permata Senayan, Jl. Tentara Pelajar, Grogol Utara, Jakarta, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12210, Indonesia
Guests
About the event
How do synthetic biological systems and artificial neural networks compete in their performance in a game environment?
Reinforcement learning has undergone significant advances, however remains behind biological neural intelligence in terms of sample efficiency. Yet most biological systems are significantly more complicated than most algorithms.
Here we compare the inherent intelligence of in vitro biological neuronal networks to state-of-the-art deep reinforcement learning algorithms in the arcade game 'pong'. We employed DishBrain, a system that embodies in vitro neural networks with in silico computation using a high-density multielectrode array. We compared the learning curve and the performance of these biological systems against time-matched learning from DQN, A2C, and PPO algorithms. Agents were implemented in a reward-based environment of the `Pong' game. Key learning characteristics of the deep reinforcement learning agents were tested with those of the biological neuronal cultures in the same game environment.
We find that even these very simple…