Image de couverture de livre

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liang, Anthony, Thomason, Jesse, Bıyık, Erdem
Format:	Preprint
Publié:	2024
Sujets:	Robotics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
par: Wang, Yufei, et autres
Publié: (2024)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
par: Zhang, Jesse, et autres
Publié: (2025)

Batch Active Learning of Reward Functions from Human Preferences
par: Bıyık, Erdem, et autres
Publié: (2024)

MILE: Model-based Intervention Learning
par: Korkmaz, Yigit, et autres
Publié: (2025)

Contrast Sets for Evaluating Language-Guided Robot Policies
par: Anwar, Abrar, et autres
Publié: (2024)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
par: Liang, Anthony, et autres
Publié: (2025)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
par: Li, Xinhu, et autres
Publié: (2025)

HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval
par: Hong, Matthew, et autres
Publié: (2025)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
par: Banayeeanzade, Amin, et autres
Publié: (2025)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
par: Hwang, Minjune, et autres
Publié: (2026)

Value Explicit Pretraining for Learning Transferable Representations
par: Lekkala, Kiran, et autres
Publié: (2023)

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
par: Zhang, Jesse, et autres
Publié: (2024)

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
par: Liang, Anthony, et autres
Publié: (2024)

Actor-Free Continuous Control via Structurally Maximizable Q-Functions
par: Korkmaz, Yigit, et autres
Publié: (2025)

A Generalized Acquisition Function for Preference-based Reward Learning
par: Ellis, Evan, et autres
Publié: (2024)

Multi-Agent Inverse Q-Learning from Demonstrations
par: Haynam, Nathaniel, et autres
Publié: (2025)

M3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention
par: Tang, Yiming, et autres
Publié: (2025)

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
par: Ling, Yiyang, et autres
Publié: (2025)

LaViPlan : Language-Guided Visual Path Planning with RLVR
par: Oh, Hayeon
Publié: (2025)

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
par: Zhang, Jiahui, et autres
Publié: (2025)

AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations
par: Gong, Litian, et autres
Publié: (2025)

Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile Robots
par: Ye, Linqi, et autres
Publié: (2025)

PriPG-RL: Privileged Planner-Guided Reinforcement Learning for Partially Observable Systems with Anytime-Feasible MPC
par: Amiri, Mohsen, et autres
Publié: (2026)

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
par: Jain, Ayush, et autres
Publié: (2024)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
par: Rowe, Luke, et autres
Publié: (2024)

Affordance-Guided Reinforcement Learning via Visual Prompting
par: Lee, Olivia Y., et autres
Publié: (2024)

Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
par: Bhatt, Dwait, et autres
Publié: (2026)

Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Locomotion
par: Bellegarda, Guillaume, et autres
Publié: (2022)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
par: Lei, Kun, et autres
Publié: (2025)

PointPatchRL -- Masked Reconstruction Improves Reinforcement Learning on Point Clouds
par: Gyenes, Balázs, et autres
Publié: (2024)

D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning
par: Rafailov, Rafael, et autres
Publié: (2024)

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
par: Dittert, Sebastian, et autres
Publié: (2024)

XPG-RL: Reinforcement Learning with Explainable Priority Guidance for Efficiency-Boosted Mechanical Search
par: Zhang, Yiting, et autres
Publié: (2025)

Pretrained Visual Representations in Reinforcement Learning
par: Williams, Emlyn, et autres
Publié: (2024)

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
par: Liang, Anthony, et autres
Publié: (2026)

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation
par: Pumacay, Wilbert, et autres
Publié: (2024)

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
par: Anwar, Abrar, et autres
Publié: (2025)

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
par: Chen, Zerui, et autres
Publié: (2024)

MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning
par: Huang, Suning, et autres
Publié: (2024)

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
par: Corrado, Nicholas E., et autres
Publié: (2023)