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EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL.

Thomas CartaSylvain LamprierPierre-Yves OudeyerOlivier Sigaud
Published in: CoRR (2022)
Keyphrases
  • answering questions
  • reward shaping
  • reinforcement learning
  • natural language
  • programming language
  • complex domains
  • question answering
  • multi agent
  • model free
  • reinforcement learning algorithms