Copertina

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cao, Chenyang, Yan, Zichen, Lu, Renhao, Tan, Junbo, Wang, Xueqian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence Machine Learning 68T40
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

From Sparse to Dense: Toddler-inspired Reward Transition in Goal-Oriented Reinforcement Learning
di: Park, Junseok, et al.
Pubblicazione: (2025)

Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning Perspective
di: Yang, Xintong, et al.
Pubblicazione: (2023)

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

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
di: Huang, Xingshuai, et al.
Pubblicazione: (2024)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
di: Sikchi, Harshit, et al.
Pubblicazione: (2023)

Teacher Motion Priors: Enhancing Robot Locomotion over Challenging Terrain
di: Jin, Fangcheng, et al.
Pubblicazione: (2025)

Heuristic Search for Path Finding with Refuelling
di: Zhao, Shizhe, et al.
Pubblicazione: (2023)

Automated Feature Selection for Inverse Reinforcement Learning
di: Baimukashev, Daulet, et al.
Pubblicazione: (2024)

ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles
di: Zhang, Minghao, et al.
Pubblicazione: (2024)

Adaptive Reward Design for Reinforcement Learning
di: Kwon, Minjae, et al.
Pubblicazione: (2024)

Residual Reward Models for Preference-based Reinforcement Learning
di: Cao, Chenyang, et al.
Pubblicazione: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
di: Ma, Yunchang, et al.
Pubblicazione: (2025)

Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
di: Clemente, Mateo, et al.
Pubblicazione: (2025)

Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
di: Gajewski, Paweł, et al.
Pubblicazione: (2024)

Learning to Communicate Functional States with Nonverbal Expressions for Improved Human-Robot Collaboration
di: Roy, Liam, et al.
Pubblicazione: (2024)

Long-Term Planning Around Humans in Domestic Environments with 3D Scene Graphs
di: Bartoli, Ermanno, et al.
Pubblicazione: (2025)

A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
di: Peterson, Isaac, et al.
Pubblicazione: (2025)

A Cross-Environment and Cross-Embodiment Path Planning Framework via a Conditional Diffusion Model
di: Tamizi, Mehran Ghafarian, et al.
Pubblicazione: (2025)

Dimension-variable Mapless Navigation with Deep Reinforcement Learning
di: Zhang, Wei, et al.
Pubblicazione: (2020)

Development of Compositionality and Generalization through Interactive Learning of Language and Action of Robots
di: Vijayaraghavan, Prasanna, et al.
Pubblicazione: (2024)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
di: Park, Seohong, et al.
Pubblicazione: (2023)

Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search
di: Mahdi, Imen, et al.
Pubblicazione: (2026)

Open, Reproducible and Trustworthy Robot-Based Experiments with Virtual Labs and Digital-Twin-Based Execution Tracing
di: Alt, Benjamin, et al.
Pubblicazione: (2025)

Invariance Co-training for Robot Visual Generalization
di: Yang, Jonathan, et al.
Pubblicazione: (2025)

Automated Robot Recovery from Assumption Violations of High-Level Specifications
di: Meng, Qian, et al.
Pubblicazione: (2024)

Offline Actor-Critic Reinforcement Learning Scales to Large Models
di: Springenberg, Jost Tobias, et al.
Pubblicazione: (2024)

Real-Time Model-Free Deep Reinforcement Learning for Force Control of a Series Elastic Actuator
di: Sambhus, Ruturaj, et al.
Pubblicazione: (2023)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
di: Pan, Minting, et al.
Pubblicazione: (2023)

Simulation-based Scenario Generation for Robust Hybrid AI for Autonomy
di: Keno, Hambisa, et al.
Pubblicazione: (2024)

Safety, Security, and Cognitive Risks in World Models
di: Parmar, Manoj
Pubblicazione: (2026)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
di: Liu, Tenglong, et al.
Pubblicazione: (2024)

Variational OOD State Correction for Offline Reinforcement Learning
di: Jiang, Ke, et al.
Pubblicazione: (2025)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
di: Huang, Jianuo
Pubblicazione: (2024)

Spatial-ViLT: Enhancing Visual Spatial Reasoning through Multi-Task Learning
di: Islam, Chashi Mahiul, et al.
Pubblicazione: (2025)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
di: Alles, Marvin, et al.
Pubblicazione: (2025)

SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks
di: Chun, Zheng
Pubblicazione: (2025)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
di: Lin, Haohong, et al.
Pubblicazione: (2023)

Shadow Program Inversion with Differentiable Planning: A Framework for Unified Robot Program Parameter and Trajectory Optimization
di: Alt, Benjamin, et al.
Pubblicazione: (2024)

Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
di: Duan, Yuanlin, et al.
Pubblicazione: (2024)

Altered Thoughts, Altered Actions: Probing Chain-of-Thought Vulnerabilities in VLA Robotic Manipulation
di: Trinh, Tuan Duong, et al.
Pubblicazione: (2026)