Energy-Efficient Deep Reinforcement Learning with Spiking Transformers

Mohammad Irfan Uddin, Nishad Tasnim, Md Omor Faruk +1

Agent-based Transformers have been widely adopted in recent reinforcement learning advances due to their demonstrated ability to solve complex tasks. However, the high computationa…