Cover Image

A Look at Value-Based Decision-Time vs. Background Planning Methods Across Different Settings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alver, Safa, Precup, Doina
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Partial Models for Building Adaptive Model-Based Reinforcement Learning Agents
by: Alver, Safa, et al.
Published: (2024)

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
by: Zhao, Mingde, et al.
Published: (2023)

Adaptive Exploration for Data-Efficient General Value Function Evaluations
by: Jain, Arushi, et al.
Published: (2024)

Diversity-Enriched Option-Critic
by: Kamat, Anand, et al.
Published: (2020)

Functional Acceleration for Policy Mirror Descent
by: Chelu, Veronica, et al.
Published: (2024)

Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
by: Carr, Jonathan Colaço, et al.
Published: (2026)

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity
by: Arnob, Samin Yeasar, et al.
Published: (2025)

Policy Gradient Methods in the Presence of Symmetries and State Abstractions
by: Panangaden, Prakash, et al.
Published: (2023)

Parseval Regularization for Continual Reinforcement Learning
by: Chung, Wesley, et al.
Published: (2024)

Fluid-Agent Reinforcement Learning
by: Sharma, Shishir, et al.
Published: (2026)

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations
by: Zhang, Shuyuan, et al.
Published: (2025)

Understanding Behavioral Metric Learning: A Large-Scale Study on Distracting Reinforcement Learning Environments
by: Luo, Ziyan, et al.
Published: (2025)

Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation
by: Patil, Gandharv, et al.
Published: (2022)

Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks
by: McCracken, Gavin, et al.
Published: (2025)

Rotation-Preserving Supervised Fine-Tuning
by: Jin, Hangzhan, et al.
Published: (2026)

Capacity-Constrained Continual Learning
by: Wen, Zheng, et al.
Published: (2025)

RL Fine-Tuning Heals OOD Forgetting in SFT
by: Jin, Hangzhan, et al.
Published: (2025)

Affordances Enable Partial World Modeling with LLMs
by: Khetarpal, Khimya, et al.
Published: (2026)

An Analysis of Action-Value Temporal-Difference Methods That Learn State Values
by: Daley, Brett, et al.
Published: (2025)

Effective Protein-Protein Interaction Exploration with PPIretrieval
by: Hua, Chenqing, et al.
Published: (2024)

More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
by: Ishfaq, Haque, et al.
Published: (2024)

The Update-Equivalence Framework for Decision-Time Planning
by: Sokota, Samuel, et al.
Published: (2023)

Capturing Individual Human Preferences with Reward Features
by: Barreto, André, et al.
Published: (2025)

Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
by: Liu, Yongshuai, et al.
Published: (2025)

LookPlanGraph: Embodied Instruction Following Method with VLM Graph Augmentation
by: Onishchenko, Anatoly O., et al.
Published: (2025)

Mixtures of Experts Unlock Parameter Scaling for Deep RL
by: Obando-Ceron, Johan, et al.
Published: (2024)

Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari Games
by: Yan, Ke
Published: (2024)

ReactZyme: A Benchmark for Enzyme-Reaction Prediction
by: Hua, Chenqing, et al.
Published: (2024)

Retrosynthetic Planning with Dual Value Networks
by: Liu, Guoqing, et al.
Published: (2023)

Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
by: Shah, Sanket, et al.
Published: (2024)

Set-Valued Sensitivity Analysis of Deep Neural Networks
by: Wang, Xin, et al.
Published: (2024)

Rejecting Hallucinated State Targets during Planning
by: Zhao, Mingde, et al.
Published: (2024)

Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations
by: Cunegatti, Elia, et al.
Published: (2023)

From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
by: Heile, Zakk, et al.
Published: (2026)

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
by: Tang, Dahao, et al.
Published: (2025)

Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
by: Zhao, Shuo, et al.
Published: (2025)

MaestroMotif: Skill Design from Artificial Intelligence Feedback
by: Klissarov, Martin, et al.
Published: (2024)

Unsupervised Learning Method for the Wave Equation Based on Finite Difference Residual Constraints Loss
by: Feng, Xin, et al.
Published: (2024)

Plasticity as the Mirror of Empowerment
by: Abel, David, et al.
Published: (2025)

Learning Abstract World Model for Value-preserving Planning with Options
by: Rodriguez-Sanchez, Rafael, et al.
Published: (2024)