Adding GPT-3.5 semantic recommendations as an auxiliary reward term to PPO improves visual coverage and reduces redundancy for simulated aerial coverage path planning, according to reported experiments.
Transformer-based imitative reinforcement learning for multirobot path planning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Prompt Informed Reinforcement Learning for Visual Coverage Path Planning
Adding GPT-3.5 semantic recommendations as an auxiliary reward term to PPO improves visual coverage and reduces redundancy for simulated aerial coverage path planning, according to reported experiments.