Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks.
Lingfeng SunDevesh K. JhaChiori HoriSiddarth JainRadu CorcodelXinghao ZhuMasayoshi TomizukaDiego RomeresPublished in: CoRR (2023)
Keyphrases
- language model
- partially observable
- state space
- language modeling
- reinforcement learning
- partial observability
- decision problems
- markov decision processes
- dynamical systems
- probabilistic model
- markov decision problems
- n gram
- information retrieval
- document retrieval
- planning domains
- infinite horizon
- statistical language models
- belief state
- language modelling
- belief space
- reward function
- query expansion
- partial observations
- retrieval model
- smoothing methods
- planning problems
- machine learning
- heuristic search
- test collection
- language models for information retrieval
- partially observable markov decision processes
- ai planning
- search space