Abhishek Gupta
収録論文 81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
- Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference2026/7/1
- Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience2026/6/1
- Difference-Aware Retrieval Policies for Imitation Learning2026/6/1
- OGPO: Sample Efficient Full-Finetuning of Generative Control Policies2026/5/1
- TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning2026/5/1
- Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation2026/3/16
- Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons2026/3/1
- Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation2026/3/1
- Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning2026/3/1
- SPARR: Simulation-based Policies with Asymmetric Real-world Residuals for Assembly2026/2/1
- RFS: Reinforcement Learning with Residual Flow Steering for Dexterous Manipulation2026/2/1
- Point Bridge: 3D Representations for Cross Domain Policy Learning2026/1/1
- PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies2025/12/1
- Refinery: Active Fine-tuning and Deployment-time Optimization for Contact-Rich Policies2025/10/1
- VAMOS: A Hierarchical Vision-Language-Action Model for Capability-Modulated and Steerable Navigation2025/10/1
- Semantic World Models2025/10/1
- The Reality Gap in Robotics: Challenges, Solutions, and Best Practices2025/10/1
- Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning2025/10/1
- PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies2025/9/1
- Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning2025/7/1
- Steering Your Diffusion Policy with Latent Space Reinforcement Learning2025/6/1
- RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies2025/6/1
- ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning2025/6/1
- DRAWER: Digital Reconstruction and Articulation With Environment Realism2025/4/1
- Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets2025/4/1
- SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks2025/3/1
- HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation2025/2/1
- Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning2025/2/1
- STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning2024/12/1
- Robot Learning with Super-Linear Scaling2024/12/1
- Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL2024/10/1
- Semantically Controllable Augmentations for Generalizable Robot Learning2024/9/1
- Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning2024/8/1
- URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images2024/5/1
- Data Efficient Behavior Cloning for Fine Manipulation via Continuity-based Corrective Labels2024/5/1
- Rank2Reward: Learning Shaped Reward Functions from Passive Video2024/4/1
- ASID: Active Exploration for System Identification in Robotic Manipulation2024/4/1
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset2024/3/1
- Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation2024/3/1
- SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning2024/1/1
- CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback2023/10/1
- Universal Visual Decomposer: Long-Horizon Manipulation Made Easy2023/10/1
- RoboHive: A Unified Framework for Robot Learning2023/10/1
- RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability2023/9/1
- Lifelong Robot Learning with Human Assisted Language Planners2023/9/1
- REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation2023/9/1
- Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback2023/7/1
- Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching2023/6/1
- TactoFind: A Tactile Only System for Object Retrieval2023/3/1
- Cherry-Picking with Reinforcement Learning : Robust Dynamic Grasping in Unstable Conditions2023/3/1
- GenAug: Retargeting behaviors to unseen situations via Generative Augmentation2023/2/1
- Pendulum Actuated Spherical Robot: Dynamic Modeling & Analysis for Wobble & Precession2023/1/1
- Wobble control of a pendulum actuated spherical robot2023/1/1
- Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance2022/12/1
- Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation2022/10/1
- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods2022/6/1
- Demonstration-Bootstrapped Autonomous Practicing via Multi-Task Reinforcement Learning2022/3/1
- Autonomous Reinforcement Learning: Formalism and Benchmarking2021/12/1
- Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation2021/7/1
- Autonomous Reinforcement Learning via Subgoal Curricula2021/7/1
- MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning2021/7/1
- Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention2021/4/1
- AWAC: Accelerating Online Reinforcement Learning with Offline Datasets2020/6/1
- The Ingredients of Real-World Robotic Reinforcement Learning2020/4/1
- Gradient Surgery for Multi-Task Learning2020/1/1
- Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning2019/10/1
- Reciprocal Collision Avoidance for General Nonlinear Agents using Reinforcement Learning2019/10/1
- ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots2019/9/1
- Guided Meta-Policy Search2019/4/1
- Soft Actor-Critic Algorithms and Applications2018/12/1
- Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost2018/10/1
- Diversity is All You Need: Learning Skills without a Reward Function2018/2/1
- Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations2017/9/1
- Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation2017/7/1
- Adapting Low-Cost Platforms for Robotics Research2017/5/1
- Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning2017/3/1
- Learning Dexterous Manipulation Policies from Experience and Imitation2016/11/1
- Learning Modular Neural Network Policies for Multi-Task and Multi-Robot Transfer2016/9/1
- Learning Dexterous Manipulation for a Soft Robotic Hand from Human Demonstration2016/3/1