Real-World Reinforcement Learning of Active Perception Behaviors
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Edward S., Wang, Jie, Yuan, Xingfang, Luo, Fiona, Li, Muyao, Lambrechts, Gaspard, Rybkin, Oleh, Jayaraman, Dinesh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privileged Sensing Scaffolds Reinforcement Learning
by: Hu, Edward S., et al.
Published: (2024)
by: Hu, Edward S., et al.
Published: (2024)
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
by: Park, Seohong, et al.
Published: (2023)
by: Park, Seohong, et al.
Published: (2023)
Latent Diffusion Planning for Imitation Learning
by: Xie, Amber, et al.
Published: (2025)
by: Xie, Amber, et al.
Published: (2025)
Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos
by: Ye, Weirui, et al.
Published: (2025)
by: Ye, Weirui, et al.
Published: (2025)
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
by: Liu, Yuyang, et al.
Published: (2025)
by: Liu, Yuyang, et al.
Published: (2025)
Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)
by: Sridhar, Kaustubh, et al.
Published: (2023)
DrEureka: Language Model Guided Sim-To-Real Transfer
by: Ma, Yecheng Jason, et al.
Published: (2024)
by: Ma, Yecheng Jason, et al.
Published: (2024)
RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)
by: Lei, Kun, et al.
Published: (2025)
Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
by: Li, Huanyu, et al.
Published: (2026)
by: Li, Huanyu, et al.
Published: (2026)
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)
by: Venkataraman, Sreyas, et al.
Published: (2024)
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
by: Turcato, Niccolò, et al.
Published: (2025)
by: Turcato, Niccolò, et al.
Published: (2025)
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)
by: Choi, Andrew, et al.
Published: (2026)
Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model
by: Fujii, Kentaro, et al.
Published: (2025)
by: Fujii, Kentaro, et al.
Published: (2025)
Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
by: Yokozawa, Riko, et al.
Published: (2025)
by: Yokozawa, Riko, et al.
Published: (2025)
Learning to Play Piano in the Real World
by: Zeulner, Yves-Simon, et al.
Published: (2025)
by: Zeulner, Yves-Simon, et al.
Published: (2025)
Eurekaverse: Environment Curriculum Generation via Large Language Models
by: Liang, William, et al.
Published: (2024)
by: Liang, William, et al.
Published: (2024)
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)
by: Li, Chenhao, et al.
Published: (2025)
VLMgineer: Vision Language Models as Robotic Toolsmiths
by: Gao, George Jiayuan, et al.
Published: (2025)
by: Gao, George Jiayuan, et al.
Published: (2025)
Handling Delay in Real-Time Reinforcement Learning
by: Anokhin, Ivan, et al.
Published: (2025)
by: Anokhin, Ivan, et al.
Published: (2025)
Tactile MNIST: Benchmarking Active Tactile Perception
by: Schneider, Tim, et al.
Published: (2025)
by: Schneider, Tim, et al.
Published: (2025)
Multi-Agent Inverse Reinforcement Learning in Real World Unstructured Pedestrian Crowds
by: Chandra, Rohan, et al.
Published: (2024)
by: Chandra, Rohan, et al.
Published: (2024)
A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
by: Arabneydi, Jalal, et al.
Published: (2025)
by: Arabneydi, Jalal, et al.
Published: (2025)
Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
by: Wei, Ran, et al.
Published: (2023)
by: Wei, Ran, et al.
Published: (2023)
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)
by: Hou, Muhan, et al.
Published: (2025)
RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models
by: Sridhar, Kaustubh, et al.
Published: (2025)
by: Sridhar, Kaustubh, et al.
Published: (2025)
Physics-informed Imitative Reinforcement Learning for Real-world Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
by: Terence, Ng Wen Zheng, et al.
Published: (2024)
by: Terence, Ng Wen Zheng, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
by: Shi, Junyao, et al.
Published: (2024)
by: Shi, Junyao, et al.
Published: (2024)
X-Sim: Cross-Embodiment Learning via Real-to-Sim-to-Real
by: Dan, Prithwish, et al.
Published: (2025)
by: Dan, Prithwish, et al.
Published: (2025)
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)
by: Hu, Jiaheng, et al.
Published: (2025)
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026)
by: Petitbois, Mathieu, et al.
Published: (2026)
Eureka: Human-Level Reward Design via Coding Large Language Models
by: Ma, Yecheng Jason, et al.
Published: (2023)
by: Ma, Yecheng Jason, et al.
Published: (2023)
Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners
by: Ng, Wen Zheng Terence, et al.
Published: (2024)
by: Ng, Wen Zheng Terence, et al.
Published: (2024)
Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
by: Parsaee, Ali, et al.
Published: (2025)
by: Parsaee, Ali, et al.
Published: (2025)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks
by: Pandaram, Muthukumar, et al.
Published: (2025)
by: Pandaram, Muthukumar, et al.
Published: (2025)
Towards Robust Zero-Shot Reinforcement Learning
by: Zheng, Kexin, et al.
Published: (2025)
by: Zheng, Kexin, et al.
Published: (2025)
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
by: Kim, Mintae, et al.
Published: (2026)
by: Kim, Mintae, et al.
Published: (2026)
Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
by: Levy, Jacob, et al.
Published: (2026)
by: Levy, Jacob, et al.
Published: (2026)
Similar Items
-
Privileged Sensing Scaffolds Reinforcement Learning
by: Hu, Edward S., et al.
Published: (2024) -
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
by: Park, Seohong, et al.
Published: (2023) -
Latent Diffusion Planning for Imitation Learning
by: Xie, Amber, et al.
Published: (2025) -
Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos
by: Ye, Weirui, et al.
Published: (2025) -
TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
by: Liu, Yuyang, et al.
Published: (2025)