Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine.
Shayan Meshkat AlsadatJean-Raphaël GaglioneDaniel NeiderUfuk TopcuZhe XuPublished in: CoRR (2024)
Keyphrases
- language model
- reinforcement learning
- language modeling
- n gram
- probabilistic model
- document retrieval
- information retrieval
- language modelling
- speech recognition
- state space
- query expansion
- reinforcement learning algorithms
- retrieval model
- smoothing methods
- optimal policy
- ad hoc information retrieval
- statistical language models
- context sensitive
- markov decision processes
- learning algorithm
- test collection
- vector space model
- pseudo relevance feedback
- reward function
- relevance model
- translation model
- language models for information retrieval
- machine learning
- average reward
- transfer learning
- document ranking
- language model for information retrieval
- query terms
- information retrieval systems
- term dependencies
- learning agent