most citedCooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics

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

collaborators

2 papers

cs.LG2026

CIG: Exploration via Conditional Information Gain

Tim Joseph, Marcus Fechner, Philipp Stegmaier +2

Intrinsic rewards for exploration in reinforcement learning condition on different contexts: lifelong rewards score each transition against accumulated experience but ignore within…

cs.MA2022★ 2 cited

Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics

Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner

Automated vehicles require the ability to cooperate with humans for smooth integration into today's traffic. While the concept of cooperation is well known, developing a robust and…