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Found 5 papers, 1 papers with code
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
Discovering 'uncertainty accumulation' and 'temporal locality' properties of driving environments, we replace the global returns in decision transformers with truncated returns less affected by environments to learn from actual outcomes of actions rather than environment transitions.
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Learning-based vehicle planning is receiving increasing attention with the emergence of diverse driving simulators and large-scale driving datasets.
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
To cope with these difficulties, this paper proposes a novel agent-centric model with anchor-informed proposals for efficient multimodal motion prediction.
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Path-Aware Graph Attention for HD Maps in Motion Prediction
The success of motion prediction for autonomous driving relies on integration of information from the HD maps.
