Abstract: Dense prediction tasks have enjoyed a growing complexity of encoder architectures, decoders, however, have remained largely the same. They rely on individual blocks decoding intermediate ...
Reinforcement learning (RL) provides a computational framework in which an agent learns optimal policies by interacting with the environment and receiving feedback in the form of rewards (Sutton and ...
- Treat RL as supervised learning problem with the MC- or TD-target as the label and the current state/action as the input. Often the target also depends on the function estimator but we simply ignore ...
"The actions are stakes, a ∈ {0, 1, . . . , min(s, 100 − s)}. \n", "The reward is zero on all transitions except those on which the gambler reaches his goal, when it is +1.\n" "The reward is zero on ...
Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...
Scroll for the photos. Braving plunging temperatures as she posed thigh-deep in a hot tub while surrounded by fresh snow and trees, Sophie thrilled her fanbase in her teeny bathing suit, modeling a ...
Mars now has 10 different songs to have topped Billboard's Hot 100 in his career. By Ethan Millman Music Editor Bruno Mars‘s latest single “I Just Might,” debuted at No. 1 on Billboard’s Hot 100 chart ...
Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
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