Algorithms that tackle deep exploration--an important challenge in reinforcement learning--
have relied on epistemic uncertainty representation through ensembles or other …

It is well known that quantifying uncertainty in the action-value estimates is crucial for
efficient exploration in reinforcement learning. Ensemble sampling offers a relatively …

Adaptive traffic signal control (ATSC) system serves a significant role for relieving urban
traffic congestion. The system is capable of adjusting signal phases and timings of all traffic …

Reinforcement learning has shown tremendous success over the past few years. Much of
this recent success can be attributed to agents learning from an inordinate amount of data in …