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Implementation of the DRDQN algrotihm described in our CIKM'21 paper titled "Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays"
Implementation of the DRDQN algrotihm described in our CIKM'21 paper titled "Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays"
System requirements
Python 3.6.9
Tensorflow 2.1
OpenAI Gym 0.18.0
The repository includes experiemnts on standard Gym enviroments (and W-maze) with both constant and stochastic delays.
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Implementation of the DRDQN algrotihm described in our CIKM'21 paper titled "Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays"