Cover Image

Accelerating Visual-Policy Learning through Parallel Differentiable Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	You, Haoxiang, Liu, Yilang, Abraham, Ian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sample-Based Hybrid Mode Control: Asymptotically Optimal Switching of Algorithmic and Non-Differentiable Control Modes
by: Liu, Yilang, et al.
Published: (2025)

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
by: You, Haoxiang, et al.
Published: (2026)

Accelerated Learning with Linear Temporal Logic using Differentiable Simulation
by: Bozkurt, Alper Kamil, et al.
Published: (2025)

Exoskeleton Control through Learning to Reduce Biological Joint Moments in Simulations
by: You, Zihang, et al.
Published: (2026)

An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable Simulation
by: Shi, Lu, et al.
Published: (2025)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
by: Hu, Jia, et al.
Published: (2024)

Training-Free Imitation Learning with Closed-Form Diffusion Policies
by: Mishra, Raghav, et al.
Published: (2026)

Diffusion Policy through Conditional Proximal Policy Optimization
by: Liu, Ben, et al.
Published: (2026)

Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
by: Son, Sanghyun, et al.
Published: (2024)

Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
by: Onoda, Ku, et al.
Published: (2026)

Is Bellman Equation Enough for Learning Control?
by: You, Haoxiang, et al.
Published: (2025)

Zero-Shot Policy Transfer in Reinforcement Learning using Buckingham's Pi Theorem
by: Pascoa, Francisco, et al.
Published: (2025)

Learning Generalizable Visuomotor Policy through Dynamics-Alignment
by: Lee, Dohyeok, et al.
Published: (2025)

Learning Hip Exoskeleton Control Policy via Predictive Neuromusculoskeletal Simulation
by: Park, Ilseung, et al.
Published: (2026)

Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning
by: Kadokawa, Yuki, et al.
Published: (2024)

Structured Imitation Learning of Interactive Policies through Inverse Games
by: Sun, Max M., et al.
Published: (2025)

Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation
by: Jia, Bofang, et al.
Published: (2024)

Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos
by: Ye, Weirui, et al.
Published: (2025)

Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum
by: Liu, Yihong, et al.
Published: (2025)

Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple Sensors
by: You, Bang, et al.
Published: (2024)

PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
by: Yang, Shunpeng, et al.
Published: (2026)

Latent Policy Steering through One-Step Flow Policies
by: Im, Hokyun, et al.
Published: (2026)

Formulating Reinforcement Learning for Human-Robot Collaboration through Off-Policy Evaluation
by: Singh, Saurav, et al.
Published: (2026)

VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies
by: George, Abraham, et al.
Published: (2024)

Tempered Sequential Monte Carlo for Trajectory and Policy Optimization with Differentiable Dynamics
by: Yang, Heng
Published: (2026)

AugInsert: Learning Robust Visual-Force Policies via Data Augmentation for Object Assembly Tasks
by: Diaz, Ryan, et al.
Published: (2024)

Trajectory Entropy Reinforcement Learning for Predictable and Robust Control
by: You, Bang, et al.
Published: (2025)

Dynamic Tube MPC: Learning Tube Dynamics with Massively Parallel Simulation for Robust Safety in Practice
by: Compton, William D., et al.
Published: (2024)

Simulation-Aided Policy Tuning for Black-Box Robot Learning
by: He, Shiming, et al.
Published: (2024)

Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
by: Gao, Tianci, et al.
Published: (2024)

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
by: Xue, Han, et al.
Published: (2025)

Differentiable Information Enhanced Model-Based Reinforcement Learning
by: Zhang, Xiaoyuan, et al.
Published: (2025)

SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics
by: Liu, Yifan, et al.
Published: (2024)

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
by: Li, Tianyu, et al.
Published: (2025)

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
by: Yin, Patrick, et al.
Published: (2025)

Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
by: Abyaneh, Amin, et al.
Published: (2026)

Exciting Contact Modes in Differentiable Simulations for Robot Learning
by: Sathyanarayan, Hrishikesh, et al.
Published: (2024)

Extremum-Seeking Action Selection for Accelerating Policy Optimization
by: Chang, Ya-Chien, et al.
Published: (2024)

FOSP: Fine-tuning Offline Safe Policy through World Models
by: Cao, Chenyang, et al.
Published: (2024)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
by: Wang, Yixiao, et al.
Published: (2024)