DRLACP applies SAC with GRUs to learn cooperative planning actions for AVs under imperfect state information and shows better performance than baselines in CARLA simulations.
Edge accelerated robot navigation with collaborative motion planning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy
DRLACP applies SAC with GRUs to learn cooperative planning actions for AVs under imperfect state information and shows better performance than baselines in CARLA simulations.