Ruslan Salakhutdinov

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

• FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
  2026/6/1
• FACTR: Force-Attending Curriculum Training for Contact-Rich Policy Learning
  2025/2/1
• Local Policies Enable Zero-shot Long-horizon Manipulation
  2024/10/1
• Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
  2024/9/1
• Neural MP: A Generalist Neural Motion Planner
  2024/9/1
• Situated Instruction Following
  2024/7/1
• Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
  2024/5/1
• Contrastive Example-Based Control
  2023/7/1
• Imitating Task and Motion Planning with Visuomotor Transformers
  2023/5/1
• Self-Supervised Object Goal Navigation with In-Situ Finetuning
  2022/12/1
• Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
  2022/9/1
• A Simple Approach for Visual Rearrangement: 3D Mapping and Semantic Search
  2022/6/1
• SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
  2021/12/1
• Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
  2021/10/1
• Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs
  2021/10/1
• Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
  2021/10/1
• Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
  2021/3/1
• On Proximal Policy Optimization's Heavy-tailed Gradients
  2021/2/1
• Unsupervised Domain Adaptation for Visual Navigation
  2020/10/1
• Object Goal Navigation using Goal-Oriented Semantic Exploration
  2020/7/1
• Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
  2020/6/1
• Neural Topological SLAM for Visual Navigation
  2020/5/1
• Weakly-Supervised Reinforcement Learning for Controllable Behavior
  2020/4/1
• Learning to Explore using Active Neural SLAM
  2020/4/1
• Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
  2020/2/1
• Multiple Futures Prediction
  2019/11/1
• Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
  2019/6/1
• Efficient Exploration via State Marginal Matching
  2019/6/1
• Embodied Multimodal Multitask Learning
  2019/2/1
• Gated Path Planning Networks
  2018/6/1
• Structured Control Nets for Deep Reinforcement Learning
  2018/2/1
• Global Pose Estimation with an Attention-based Recurrent Network
  2018/2/1
• Active Neural Localization
  2018/1/1
• Gated-Attention Architectures for Task-Oriented Language Grounding
  2017/6/1