EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL.
Thomas CartaPierre-Yves OudeyerOlivier SigaudSylvain LamprierPublished in: NeurIPS (2022)
Keyphrases
- answering questions
- reward shaping
- reinforcement learning
- reinforcement learning algorithms
- programming language
- question answering
- artificial intelligence
- natural language
- state space
- complex domains
- function approximation
- data mining
- information retrieval
- dynamic environments
- search computing
- markov decision problems