most citedTactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.LG2026

Multi-Objective Reinforcement Learning for Tactical Decision Making for Trucks in Highway Traffic

Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani

Balancing safety, efficiency, and operational costs in highway driving poses a challenging decision-making problem for heavy-duty vehicles. A central difficulty is that conventiona…

cs.LG2024★ 1 cited

Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward

Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani

We develop a deep reinforcement learning framework for tactical decision making in an autonomous truck, specifically for Adaptive Cruise Control (ACC) and lane change maneuvers in…