Cover Image

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nakhaei, Mohammadreza, Scannell, Aidan, Pajarinen, Joni
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
by: Nakhaei, Mohammadreza, et al.
Published: (2024)

Contextual Latent World Models for Offline Meta Reinforcement Learning
by: Nakheai, Mohammadreza, et al.
Published: (2026)

iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning
by: Scannell, Aidan, et al.
Published: (2024)

Discrete Codebook World Models for Continuous Control
by: Scannell, Aidan, et al.
Published: (2025)

Function-space Parameterization of Neural Networks for Sequential Learning
by: Scannell, Aidan, et al.
Published: (2024)

Reachability Weighted Offline Goal-conditioned Resampling
by: Yang, Wenyan, et al.
Published: (2025)

Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data
by: Zhao, Yi, et al.
Published: (2025)

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals
by: Wang, Vivienne Huiling, et al.
Published: (2025)

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
by: Klink, Pascal, et al.
Published: (2023)

Probabilistic Subgoal Representations for Hierarchical Reinforcement learning
by: Wang, Vivienne Huiling, et al.
Published: (2024)

GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
by: Lei, Xing, et al.
Published: (2025)

Grouped Discrete Representation for Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2024)

Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
by: Ghanem, Abdelghani, et al.
Published: (2026)

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
by: Liu, Hongjia, et al.
Published: (2025)

Learning Multi-Timescale Abstractions for Hierarchical Combinatorial Planning
by: Wang, Vivienne Huiling, et al.
Published: (2026)

Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
by: Yoo, Minjong, et al.
Published: (2024)

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
by: Qian, Fuyuan, et al.
Published: (2026)

Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
by: Shrestha, Jatan, et al.
Published: (2026)

Offline Multitask Representation Learning for Reinforcement Learning
by: Ishfaq, Haque, et al.
Published: (2024)

CausalCOMRL: Context-Based Offline Meta-Reinforcement Learning with Causal Representation
by: Zhang, Zhengzhe, et al.
Published: (2025)

ROER: Regularized Optimal Experience Replay
by: Li, Changling, et al.
Published: (2024)

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
by: Zhang, Hai, et al.
Published: (2024)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)

Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
by: Pathmanathan, Pankayaraj, et al.
Published: (2023)

Hypercube Policy Regularization Framework for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)

Q-value Regularized Transformer for Offline Reinforcement Learning
by: Hu, Shengchao, et al.
Published: (2024)

Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
by: Wang, Min, et al.
Published: (2026)

Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
by: Suttle, Wesley A., et al.
Published: (2025)

State Entropy Regularization for Robust Reinforcement Learning
by: Ashlag, Yonatan, et al.
Published: (2025)

Mildly Conservative Regularized Evaluation for Offline Reinforcement Learning
by: Chen, Haohui, et al.
Published: (2025)

Offline Goal-conditioned Reinforcement Learning with Quasimetric Representations
by: Myers, Vivek, et al.
Published: (2025)

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data
by: Deng, Shilong, et al.
Published: (2025)

Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning
by: Jhaveri, Yash, et al.
Published: (2025)

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
by: Kobanda, Anthony, et al.
Published: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2026)

Q-value Regularized Decision ConvFormer for Offline Reinforcement Learning
by: Yan, Teng, et al.
Published: (2024)

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