Jost Tobias Springenberg
収録論文 34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
- RL Token: Bootstrapping Online RL with Vision-Language-Action Models2026/4/24
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities2026/4/1
- RL Token: Bootstrapping Online RL with Vision-Language-Action Models2026/4/1
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models2026/3/1
- $π^{*}_{0.6}$: a VLA That Learns From Experience2025/11/18
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience2025/11/1
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better2025/5/29
- Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better2025/5/1
- $π_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/22
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization2025/4/1
- Gemini Robotics: Bringing AI into the Physical World2025/3/1
- Game On: Towards Language Models as RL Experimenters2024/9/1
- Offline Actor-Critic Reinforcement Learning Scales to Large Models2024/2/1
- GATS: Gather-Attend-Scatter2024/1/1
- Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots2023/12/1
- RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation2023/6/1
- A Generalist Dynamics Model for Control2023/5/1
- Leveraging Jumpy Models for Planning and Fast Learning in Robotic Domains2023/2/1
- A Generalist Agent2022/5/1
- How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation2022/5/1
- Evaluating model-based planning and planner amortization for continuous control2021/10/1
- Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes2021/10/1
- On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning2021/6/1
- Learning Dexterous Manipulation from Suboptimal Experts2020/10/1
- Simple Sensor Intentions for Exploration2020/5/1
- Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning2020/2/1
- Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics2020/1/1
- Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models2019/10/1
- Compositional Transfer in Hierarchical Reinforcement Learning2019/6/1
- Self-supervised Learning of Image Embedding for Continuous Control2019/1/1
- Maximum a Posteriori Policy Optimisation2018/6/1
- Learning by Playing - Solving Sparse Reward Tasks from Scratch2018/2/1
- Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments2016/12/1
- Multimodal Deep Learning for Robust RGB-D Object Recognition2015/7/1