Value prediction

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (83 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
  4 Oct 2021 5 repositories listed Syntology ran 13 of 21 samples · 8 unverified · 6 pointer-only (licence)
  However, prior methods typically require accurate estimation of the behavior policy or sampling from OOD data points, which themselves can be a non-trivial problem.
• Value Prediction Network
  11 Jul 2017 2 repositories listed
  This paper proposes a novel deep reinforcement learning (RL) architecture, called Value Prediction Network (VPN), which integrates model-free and model-based RL methods into a single neural network.
• Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
  23 Mar 2025 1 repository listed
  Graph Neural Networks (GNNs) have demonstrated remarkable performance in various graph-based machine learning tasks, yet evaluating the importance of neighbors of testing nodes remains largely unexplored due to the…
• Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
  16 Aug 2024 1 repository listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Existing FedCF methods typically combine distributed Collaborative Filtering (CF) algorithms with privacy-preserving mechanisms, and then preserve personalized information into a user embedding vector.
• CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method
  29 Jul 2024 1 repository listed
  The SYNTAX score has become a widely used measure of coronary disease severity, crucial in selecting the optimal mode of the revascularization procedure.
• Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays
  22 Jul 2024 1 repository listed
  Although various deep learning models have been proposed to address this complex task, they suffer from two limitations: 1) They employ voxel representation for bone shape and exploit 3D convolutional layers to capture…
• WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models
  25 Apr 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  The awareness of multi-cultural human values is critical to the ability of language models (LMs) to generate safe and personalized responses.
• CompilerDream: Learning a Compiler World Model for General Code Optimization
  24 Apr 2024 1 repository listed
  Effective code optimization in compilers is crucial for computer and software engineering.
• ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
  2 Feb 2024 1 repository listed
  Data-driven weather forecast based on machine learning (ML) has experienced rapid development and demonstrated superior performance in the global medium-range forecast compared to traditional physics-based dynamical…
• A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
  5 Dec 2023 1 repository listed
  Dense retrieval methods have been mostly focused on unstructured text and less attention has been drawn to structured data with various aspects, e.
• Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
  10 Sep 2023 1 repository listed
  Developing a reliable and responsible traffic accident prediction model is crucial to addressing growing public safety concerns and enhancing the safety of urban mobility systems.
• Reinforcement Learning from Passive Data via Latent Intentions
  10 Apr 2023 1 repository listed Syntology ran 0 of 15 samples · 15 unverified
  Passive observational data, such as human videos, is abundant and rich in information, yet remains largely untapped by current RL methods.
• Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments
  31 Jan 2023 1 repository listed
  To address these challenges, we do the following: i) Instead of a neural network, we do model-based planning using a parallel memory retrieval system (which we term the slow mechanism); ii) Instead of learning state…
• On the Estimation Bias in Double Q-Learning
  29 Sep 2021 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  Double Q-learning is a classical method for reducing overestimation bias, which is caused by taking maximum estimated values in the Bellman operation.
• Learning State Representations from Random Deep Action-conditional Predictions
  9 Feb 2021 1 repository listed
  Our main contribution in this work is an empirical finding that random General Value Functions (GVFs), i.
• DATE: Dual Attentive Tree-aware Embedding for Customs Fraud Detection
  23 Aug 2020 1 repository listed
  Intentional manipulation of invoices that lead to undervaluation of trade goods is the most common type of customs fraud to avoid ad valorem duties and taxes.
• timeXplain -- A Framework for Explaining the Predictions of Time Series Classifiers
  15 Jul 2020 1 repository listed Syntology ran 0 of 10 samples · 10 unverified
  Modern time series classifiers display impressive predictive capabilities, yet their decision-making processes mostly remain black boxes to the user.
• PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction
  9 Jun 2020 1 repository listed
  Improving the robustness of neural nets in regression tasks is key to their application in multiple domains.
• Spatial Action Maps for Mobile Manipulation
  20 Apr 2020 1 repository listed Syntology ran 2 of 8 samples · 6 unverified
  Typical end-to-end formulations for learning robotic navigation involve predicting a small set of steering command actions (e.
• ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
  6 Nov 2018 1 repository listed
  In this paper, we propose an actor ensemble algorithm, named ACE, for continuous control with a deterministic policy in reinforcement learning.
• TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
  31 Oct 2017 1 repository listed Syntology ran 0 of 12 samples · 12 unverified
  To address these challenges, we propose TreeQN, a differentiable, recursive, tree-structured model that serves as a drop-in replacement for any value function network in deep RL with discrete actions.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.