Image de couverture de livre

Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Giammarino, Vittorio, Ni, Ruiqi, Qureshi, Ahmed H.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Physics-informed Goal-Conditioned Reinforcement Learning under Hybrid Contact Dynamics
par: Giammarino, Vittorio, et autres
Publié: (2026)

Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning
par: Giammarino, Vittorio, et autres
Publié: (2025)

Robust Point Cloud Reinforcement Learning via PCA-Based Canonicalization
par: Bezick, Michael, et autres
Publié: (2025)

Physics-informed Neural Motion Planning on Constraint Manifolds
par: Ni, Ruiqi, et autres
Publié: (2024)

Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
par: Ni, Ruiqi, et autres
Publié: (2025)

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
par: Ahn, Hongjoon, et autres
Publié: (2025)

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
par: Sikchi, Harshit, et autres
Publié: (2023)

Abstraction for Offline Goal-Conditioned Reinforcement Learning
par: Wibault, Clarisse, et autres
Publié: (2026)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
par: Kobanda, Anthony, et autres
Publié: (2025)

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
par: Kang, Hyungkyu, et autres
Publié: (2026)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
par: Huang, Xingshuai, et autres
Publié: (2024)

Compositional Transduction with Latent Analogies for Offline Goal-Conditioned Reinforcement Learning
par: Kim, Junseok, et autres
Publié: (2026)

A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations
par: Ozcan, Erhan Can, et autres
Publié: (2024)

Adversarial Imitation Learning from Visual Observations using Latent Information
par: Giammarino, Vittorio, et autres
Publié: (2023)

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning
par: Giammarino, Vittorio, et autres
Publié: (2024)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
par: Venugopal, Aravind, et autres
Publié: (2026)

Adaptive Coarse-to-Fine Subgoal Refinement for Long-Horizon Offline Goal-Conditioned Reinforcement Learning
par: Ke, Kaiqiang, et autres
Publié: (2026)

Automaton Constrained Q-Learning
par: Manganaris, Anastasios, et autres
Publié: (2025)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
par: Myers, Vivek, et autres
Publié: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
par: Ma, Yunchang, et autres
Publié: (2025)

Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
par: Chen, Yilei, et autres
Publié: (2024)

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
par: Wang, Xuefeng, et autres
Publié: (2025)

Test-time Offline Reinforcement Learning on Goal-related Experience
par: Bagatella, Marco, et autres
Publié: (2025)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
par: Cao, Chenyang, et autres
Publié: (2024)

Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk
par: Ni, Xinyi, et autres
Publié: (2024)

Goal-conditioned Offline Reinforcement Learning through State Space Partitioning
par: Wang, Mianchu, et autres
Publié: (2023)

OGBench: Benchmarking Offline Goal-Conditioned RL
par: Park, Seohong, et autres
Publié: (2024)

GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
par: Wang, Mianchu, et autres
Publié: (2023)

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
par: Choi, Jinwoo, et autres
Publié: (2026)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
par: He, Jinmin, et autres
Publié: (2025)

Equivariant Goal Conditioned Contrastive Reinforcement Learning
par: Tangri, Arsh, et autres
Publié: (2025)

Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
par: Liao, Luofeng, et autres
Publié: (2021)

Efficient Hierarchical Implicit Flow Q-learning for Offline Goal-conditioned Reinforcement Learning
par: Dong, Zhiqiang, et autres
Publié: (2026)

Weakly-supervised Learning for Physics-informed Neural Motion Planning via Sparse Roadmap
par: Ni, Ruiqi, et autres
Publié: (2026)

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
par: Yao, Yihang, et autres
Publié: (2024)

Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
par: Kim, Jeonghye, et autres
Publié: (2024)

The Three Regimes of Offline-to-Online Reinforcement Learning
par: Li, Lu, et autres
Publié: (2025)

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
par: Tiofack, Franki Nguimatsia, et autres
Publié: (2026)

Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
par: Kim, Byeongchan, et autres
Publié: (2026)

Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning
par: Pang, Teng, et autres
Publié: (2026)