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Modularity benefits reinforcement learning agents with competing homeostatic drives.

Zack DulbergRachit DubeyIsabel M. BerwianJonathan D. Cohen
Published in: CoRR (2022)
Keyphrases
  • reinforcement learning agents
  • dynamic environments
  • reinforcement learning
  • transfer learning
  • state abstraction
  • learning algorithm
  • feature space