4 citations · 5 across the 7 of their papers we have counts for
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cs.LG2020
Learning by Competition of Self-Interested Reinforcement Learning Agents
Stephen Chung
An artificial neural network can be trained by uniformly broadcasting a reward signal to units that implement a REINFORCE learning rule. Though this presents a biologically plausib…
cs.LG2020★ 1 cited
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
Stephen Chung
Nearly all state-of-the-art deep learning algorithms rely on error backpropagation, which is generally regarded as biologically implausible. An alternative way of training an artif…
cs.LG2020★ 4 cited
Reinforcement Learning with Feedback-modulated TD-STDP
Stephen Chung, Robert Kozma
Spiking neuron networks have been used successfully to solve simple reinforcement learning tasks with continuous action set applying learning rules based on spike-timing-dependent…