Learning Memory Mechanisms for Decision Making through Demonstrations
Fuente:
arXiv
Saved in:
| Main Authors: | Yue, William, Liu, Bo, Stone, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning to Look: Seeking Information for Decision Making via Policy Factorization
by: Dass, Shivin, et al.
Published: (2024)
by: Dass, Shivin, et al.
Published: (2024)
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024)
by: Yue, William, et al.
Published: (2024)
Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory
by: Yue, William
Published: (2024)
by: Yue, William
Published: (2024)
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
by: Tao, Stone, et al.
Published: (2024)
by: Tao, Stone, et al.
Published: (2024)
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
by: Luo, Baiting, et al.
Published: (2025)
by: Luo, Baiting, et al.
Published: (2025)
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
by: Tan, Hengkai, et al.
Published: (2024)
by: Tan, Hengkai, et al.
Published: (2024)
Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making
by: Fan, Zhaowen, et al.
Published: (2026)
by: Fan, Zhaowen, et al.
Published: (2026)
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
by: Yang, Yue, et al.
Published: (2024)
by: Yang, Yue, et al.
Published: (2024)
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2026)
by: Hu, Jiaheng, et al.
Published: (2026)
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations
by: Ma, Haitong, et al.
Published: (2025)
by: Ma, Haitong, et al.
Published: (2025)
Learning Adaptive Dexterous Grasping from Single Demonstrations
by: Shi, Liangzhi, et al.
Published: (2025)
by: Shi, Liangzhi, et al.
Published: (2025)
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
by: Ghani, Saad Abdul, et al.
Published: (2024)
by: Ghani, Saad Abdul, et al.
Published: (2024)
Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay
by: Peng, Baiyu, et al.
Published: (2024)
by: Peng, Baiyu, et al.
Published: (2024)
Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration Interface
by: Takahashi, Kei, et al.
Published: (2025)
by: Takahashi, Kei, et al.
Published: (2025)
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2024)
by: Hu, Jiaheng, et al.
Published: (2024)
Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning
by: Xu, Zifan, et al.
Published: (2024)
by: Xu, Zifan, et al.
Published: (2024)
Using Surprise Index for Competency Assessment in Autonomous Decision-Making
by: Ratheesh, Akash, et al.
Published: (2023)
by: Ratheesh, Akash, et al.
Published: (2023)
Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
by: Escoriza, Adrià López, et al.
Published: (2025)
by: Escoriza, Adrià López, et al.
Published: (2025)
Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
by: Abdelhamid, M. Youssef, et al.
Published: (2025)
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
by: He, Zhengmao, et al.
Published: (2024)
by: He, Zhengmao, et al.
Published: (2024)
Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections
by: Li, Qing, et al.
Published: (2024)
by: Li, Qing, et al.
Published: (2024)
Learning Novel Skills from Language-Generated Demonstrations
by: Jin, Ao-Qun, et al.
Published: (2024)
by: Jin, Ao-Qun, et al.
Published: (2024)
Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
by: Fang, Shijie, et al.
Published: (2025)
by: Fang, Shijie, et al.
Published: (2025)
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)
by: Wan, Hanxi, et al.
Published: (2024)
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
by: Chen, Letian, et al.
Published: (2022)
by: Chen, Letian, et al.
Published: (2022)
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)
by: Hori, Toshiaki, et al.
Published: (2025)
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
by: Jiang, Eric Hanchen, et al.
Published: (2024)
by: Jiang, Eric Hanchen, et al.
Published: (2024)
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
by: Tang, Chen, et al.
Published: (2024)
by: Tang, Chen, et al.
Published: (2024)
Quality over Quantity: Demonstration Curation via Influence Functions for Data-Centric Robot Learning
by: Lee, Haeone, et al.
Published: (2026)
by: Lee, Haeone, et al.
Published: (2026)
Learning Gentle Grasping from Human-Free Force Control Demonstration
by: Li, Mingxuan, et al.
Published: (2024)
by: Li, Mingxuan, et al.
Published: (2024)
Conditional Neural Expert Processes for Learning Movement Primitives from Demonstration
by: Yildirim, Yigit, et al.
Published: (2024)
by: Yildirim, Yigit, et al.
Published: (2024)
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
by: Zhou, Bohan, et al.
Published: (2024)
by: Zhou, Bohan, et al.
Published: (2024)
Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration
by: Auddy, Sayantan, et al.
Published: (2023)
by: Auddy, Sayantan, et al.
Published: (2023)
Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
by: Bhatt, Dwait, et al.
Published: (2026)
by: Bhatt, Dwait, et al.
Published: (2026)
Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)
by: Tang, Runze, et al.
Published: (2026)
How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
by: Li, Haozhuo, et al.
Published: (2025)
by: Li, Haozhuo, et al.
Published: (2025)
DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation
by: Xu, Xinyue, et al.
Published: (2025)
by: Xu, Xinyue, et al.
Published: (2025)
Optimizing Sensor Redundancy in Sequential Decision-Making Problems
by: Nüßlein, Jonas, et al.
Published: (2024)
by: Nüßlein, Jonas, et al.
Published: (2024)
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations
by: Urain, Julen, et al.
Published: (2024)
by: Urain, Julen, et al.
Published: (2024)
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
by: von Hartz, Jan Ole, et al.
Published: (2024)
by: von Hartz, Jan Ole, et al.
Published: (2024)
Similar Items
-
Learning to Look: Seeking Information for Decision Making via Policy Factorization
by: Dass, Shivin, et al.
Published: (2024) -
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024) -
Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory
by: Yue, William
Published: (2024) -
Reverse Forward Curriculum Learning for Extreme Sample and Demonstration Efficiency in Reinforcement Learning
by: Tao, Stone, et al.
Published: (2024) -
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
by: Luo, Baiting, et al.
Published: (2025)