Saved in:
| Main Authors: | Hirschowitz, Ethan, Ramos, Fabio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.09923 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
by: Cai, Shizhe, et al.
Published: (2025)
by: Cai, Shizhe, et al.
Published: (2025)
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024)
by: Yuan, Xiu, et al.
Published: (2024)
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025)
by: Zhang, Jesse, et al.
Published: (2025)
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
by: Chen, Kaiqi, et al.
Published: (2024)
by: Chen, Kaiqi, et al.
Published: (2024)
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
by: K, Swaminathan S, et al.
Published: (2026)
by: K, Swaminathan S, et al.
Published: (2026)
Automating the Refinement of Reinforcement Learning Specifications
by: Ambadkar, Tanmay, et al.
Published: (2025)
by: Ambadkar, Tanmay, et al.
Published: (2025)
Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification
by: Wu, Yilin, et al.
Published: (2025)
by: Wu, Yilin, et al.
Published: (2025)
Refining Compositional Diffusion for Reliable Long-Horizon Planning
by: Lee, Kyowoon, et al.
Published: (2026)
by: Lee, Kyowoon, et al.
Published: (2026)
Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
by: Carvalho, Jônata Tyska, et al.
Published: (2025)
by: Carvalho, Jônata Tyska, et al.
Published: (2025)
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
by: Flageat, Manon, et al.
Published: (2023)
by: Flageat, Manon, et al.
Published: (2023)
Evolutionary Policy Optimization
by: Wang, Jianren, et al.
Published: (2025)
by: Wang, Jianren, et al.
Published: (2025)
Policy-Guided Diffusion
by: Jackson, Matthew Thomas, et al.
Published: (2024)
by: Jackson, Matthew Thomas, et al.
Published: (2024)
Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Transformation & Translation Occupancy Grid Mapping: 2-Dimensional Deep Learning Refined SLAM
by: Davies, Leon, et al.
Published: (2025)
by: Davies, Leon, et al.
Published: (2025)
Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
by: Shitanda, Naoki, et al.
Published: (2026)
by: Shitanda, Naoki, et al.
Published: (2026)
Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
by: Huang, Haojie, et al.
Published: (2024)
by: Huang, Haojie, et al.
Published: (2024)
ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)
by: Lu, Dekun, et al.
Published: (2025)
Flattening Hierarchies with Policy Bootstrapping
by: Zhou, John L., et al.
Published: (2025)
by: Zhou, John L., et al.
Published: (2025)
Foundation Policies with Hilbert Representations
by: Park, Seohong, et al.
Published: (2024)
by: Park, Seohong, et al.
Published: (2024)
Safe Deep Policy Adaptation
by: Xiao, Wenli, et al.
Published: (2023)
by: Xiao, Wenli, et al.
Published: (2023)
Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
by: Xue, Han, et al.
Published: (2025)
by: Xue, Han, et al.
Published: (2025)
Drifting Field Policy: A One-Step Generative Policy via Wasserstein Gradient Flow
by: Koo, Juil, et al.
Published: (2026)
by: Koo, Juil, et al.
Published: (2026)
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
by: Onoda, Ku, et al.
Published: (2026)
by: Onoda, Ku, et al.
Published: (2026)
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
by: Liu, Xingyu, et al.
Published: (2024)
by: Liu, Xingyu, et al.
Published: (2024)
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
by: Rana, Krishan, et al.
Published: (2025)
by: Rana, Krishan, et al.
Published: (2025)
Coordinated Humanoid Manipulation with Choice Policies
by: Qi, Haozhi, et al.
Published: (2025)
by: Qi, Haozhi, et al.
Published: (2025)
Safe Exploration via Policy Priors
by: Wendl, Manuel, et al.
Published: (2026)
by: Wendl, Manuel, et al.
Published: (2026)
Mollification Effects of Policy Gradient Methods
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
by: Nakanishi, Kosuke, et al.
Published: (2025)
by: Nakanishi, Kosuke, et al.
Published: (2025)
RAPTOR: A Foundation Policy for Quadrotor Control
by: Eschmann, Jonas, et al.
Published: (2025)
by: Eschmann, Jonas, et al.
Published: (2025)
Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)
by: Jiang, Huiyun, et al.
Published: (2025)
Guided Policy Optimization under Partial Observability
by: Li, Yueheng, et al.
Published: (2025)
by: Li, Yueheng, et al.
Published: (2025)
Discrete Variational Autoencoding via Policy Search
by: Drolet, Michael, et al.
Published: (2025)
by: Drolet, Michael, et al.
Published: (2025)
Variational Distillation of Diffusion Policies into Mixture of Experts
by: Zhou, Hongyi, et al.
Published: (2024)
by: Zhou, Hongyi, et al.
Published: (2024)
Fast Convergence of Softmax Policy Mirror Ascent
by: Asad, Reza, et al.
Published: (2024)
by: Asad, Reza, et al.
Published: (2024)
A Taxonomy for Evaluating Generalist Robot Manipulation Policies
by: Gao, Jensen, et al.
Published: (2025)
by: Gao, Jensen, et al.
Published: (2025)
Real-Time Execution of Action Chunking Flow Policies
by: Black, Kevin, et al.
Published: (2025)
by: Black, Kevin, et al.
Published: (2025)
Mutual Information Tracks Policy Coherence in Reinforcement Learning
by: Reid, Cameron, et al.
Published: (2025)
by: Reid, Cameron, et al.
Published: (2025)
PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)
by: Georgiev, Ignat, et al.
Published: (2024)
Extremum-Seeking Action Selection for Accelerating Policy Optimization
by: Chang, Ya-Chien, et al.
Published: (2024)
by: Chang, Ya-Chien, et al.
Published: (2024)
Similar Items
-
Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
by: Cai, Shizhe, et al.
Published: (2025) -
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024) -
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025) -
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
by: Chen, Kaiqi, et al.
Published: (2024) -
SPAARS: Safer RL Policy Alignment through Abstract Exploration and Refined Exploitation of Action Space
by: K, Swaminathan S, et al.
Published: (2026)