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    • Complexification through gradual involvement and reward providing in deep reinforcement learning 

      Rulko, E. V. (БНТУ, 2024)
      Training a relatively big neural network within the framework of deep reinforcement learning that has enough capacity for complex tasks is challenging. In real life the process of task solving requires system of knowledge, where more complex skills are built upon previously learned ones. The same way biological evolution builds new forms of life based on a previously achieved ...
      2024-12-27