A policy-gradient neural network can learn obstacle-avoiding target navigation in a continuous robosoccer domain, with partial transfer from static training to dynamic multi-agent evaluation.
Path Planning with Modified a Star Algorithm for a Mobile Robot,
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
background 1representative citing papers
citing papers explorer
-
Towards Learning Scalable Agile Dynamic Motion Planning for Robosoccer Teams with Policy Optimization
A policy-gradient neural network can learn obstacle-avoiding target navigation in a continuous robosoccer domain, with partial transfer from static training to dynamic multi-agent evaluation.