Peter Karkus
収録論文 21本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Planning-aligned Token Compression for Long-Context Autonomous Driving2026/6/1
- RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies2025/12/1
- Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail2025/11/1
- Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail2025/10/30
- Trends in Motion Prediction Toward Deployable and Generalizable Autonomy: A Revisit and Perspectives2025/5/1
- Learning Multiple Initial Solutions to Optimization Problems2024/11/1
- LoRD: Adapting Differentiable Driving Policies to Distribution Shifts2024/10/1
- DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features2024/6/1
- Interactive Joint Planning for Autonomous Vehicles2023/10/1
- DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving2023/10/1
- Tree-structured Policy Planning with Learned Behavior Models2023/1/1
- Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles2022/12/1
- DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles2022/12/1
- Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models2022/10/1
- Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation2021/5/1
- Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban2020/10/1
- Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization2020/5/1
- Differentiable Algorithm Networks for Composable Robot Learning2019/5/1
- Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation2018/7/1
- Particle Filter Networks with Application to Visual Localization2018/5/1
- Factored Contextual Policy Search with Bayesian Optimization2016/12/1