Decision Making

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

40 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 40 until expanded.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 2,946 papers with code (12,311 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.

• Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
  4 Jan 2018 86 repositories listed Syntology ran 91 of 148 samples · 57 unverified · 66 pointer-only (licence)
  A platform for Applied Reinforcement Learning (Applied RL)
• Soft Actor-Critic Algorithms and Applications
  13 Dec 2018 52 repositories listed Syntology ran 10 of 40 samples · 30 unverified · 1 pointer-only (licence)
  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
• Relational inductive biases, deep learning, and graph networks
  4 Jun 2018 31 repositories listed Syntology ran 13 of 51 samples · 38 unverified · 15 pointer-only (licence)
  As a companion to this paper, we have released an open-source software library for building graph networks, with demonstrations of how to use them in practice.
• Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
  9 Nov 2015 21 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  Semantic segmentation is an important tool for visual scene understanding and a meaningful measure of uncertainty is essential for decision making.
• TabNet: Attentive Interpretable Tabular Learning
  20 Aug 2019 19 repositories listed Syntology ran 1 of 17 samples · 16 unverified · 1 pointer-only (licence)
  We propose a novel high-performance and interpretable canonical deep tabular data learning architecture, TabNet.
• AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
  3 Oct 2018 13 repositories listed Syntology ran 3 of 11 samples · 8 unverified · 1 pointer-only (licence)
  Such architectural design and abstractions enable researchers and developers to extend the toolkit with their new algorithms and improvements, and to use it for performance benchmarking.
• GraphCast: Learning skillful medium-range global weather forecasting
  24 Dec 2022 11 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Global medium-range weather forecasting is critical to decision-making across many social and economic domains.
• ReAct: Synergizing Reasoning and Acting in Language Models
  6 Oct 2022 9 repositories listed Syntology ran 15 of 34 samples · 19 unverified · 5 pointer-only (licence)
  While large language models (LLMs) have demonstrated impressive capabilities across tasks in language understanding and interactive decision making, their abilities for reasoning (e.
• Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
  3 Oct 2019 9 repositories listed Syntology ran 3 of 13 samples · 10 unverified · 2 pointer-only (licence)
  Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.
• A Probabilistic U-Net for Segmentation of Ambiguous Images
  13 Jun 2018 9 repositories listed Syntology ran 5 of 9 samples · 4 unverified
  To this end we propose a generative segmentation model based on a combination of a U-Net with a conditional variational autoencoder that is capable of efficiently producing an unlimited number of plausible hypotheses.
• Neural Additive Models: Interpretable Machine Learning with Neural Nets
  29 Apr 2020 8 repositories listed Syntology ran 26 of 33 samples · 7 unverified · 14 pointer-only (licence)
  They perform similarly to existing state-of-the-art generalized additive models in accuracy, but are more flexible because they are based on neural nets instead of boosted trees.
• Mastering Diverse Domains through World Models
  10 Jan 2023 7 repositories listed Syntology ran 21 of 34 samples · 13 unverified
  Developing a general algorithm that learns to solve tasks across a wide range of applications has been a fundamental challenge in artificial intelligence.
• The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
  31 Mar 2019 7 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  The morphometry of a kidney tumor revealed by contrast-enhanced Computed Tomography (CT) imaging is an important factor in clinical decision making surrounding the lesion's diagnosis and treatment.
• Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
  28 Feb 2018 7 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Quantitative analysis of brain tumors is critical for clinical decision making.
• Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
  30 Oct 2017 7 repositories listed Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
  Reinforcement learning provides a powerful and general framework for decision making and control, but its application in practice is often hindered by the need for extensive feature and reward engineering.
• Tree of Thoughts: Deliberate Problem Solving with Large Language Models
  17 May 2023 6 repositories listed Syntology ran 7 of 24 samples · 17 unverified
  Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference.
• Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
  11 Aug 2022 6 repositories listed
  In this work, we investigate factors causing biased detection in public Deepfake datasets by (a) creating large-scale demographic and non-demographic attribute annotations with 47 different attributes for five popular…
• QPLEX: Duplex Dueling Multi-Agent Q-Learning
  3 Aug 2020 6 repositories listed Syntology ran 2 of 4 samples · 2 unverified
  This paper presents a novel MARL approach, called duPLEX dueling multi-agent Q-learning (QPLEX), which takes a duplex dueling network architecture to factorize the joint value function.
• Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
  4 May 2018 6 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  This work extends our previous approach to develop an algorithm that learns collision avoidance among a variety of types of dynamic agents without assuming they follow any particular behavior rules.
• QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
  12 Jan 2018 6 repositories listed
  We introduce QuickNAT, a fully convolutional, densely connected neural network that segments a \revision{MRI brain scan} in 20 seconds.
• Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Reward
  29 Dec 2017 6 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Video summarization aims to facilitate large-scale video browsing by producing short, concise summaries that are diverse and representative of original videos.
• Deep Q-learning from Demonstrations
  12 Apr 2017 6 repositories listed
  We present an algorithm, Deep Q-learning from Demonstrations (DQfD), that leverages small sets of demonstration data to massively accelerate the learning process even from relatively small amounts of demonstration data…
• Reflexion: Language Agents with Verbal Reinforcement Learning
  20 Mar 2023 5 repositories listed Syntology ran 2 of 9 samples · 7 unverified
  Large language models (LLMs) have been increasingly used to interact with external environments (e.
• Neur2SP: Neural Two-Stage Stochastic Programming
  20 May 2022 5 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 10 pointer-only (licence)
  Stochastic Programming is a powerful modeling framework for decision-making under uncertainty.
• Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
  13 Aug 2021 5 repositories listed
  The last half-decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities.
• IQ-Learn: Inverse soft-Q Learning for Imitation
  23 Jun 2021 5 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  In many sequential decision-making problems (e.
• An Introduction to Deep Reinforcement Learning
  30 Nov 2018 5 repositories listed
  Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning.
• Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling
  29 Oct 2018 5 repositories listed
  The DRR framework treats recommendation as a sequential decision making procedure and adopts an "Actor-Critic" reinforcement learning scheme to model the interactions between the users and recommender systems, which can…
• MedSTS: A Resource for Clinical Semantic Textual Similarity
  28 Aug 2018 5 repositories listed
  A subset of MedSTS (MedSTS_ann) containing 1, 068 sentence pairs was annotated by two medical experts with semantic similarity scores of 0-5 (low to high similarity).
• TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
  14 Mar 2025 4 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  It selects tools based on task objectives and executes structured function calls to solve therapeutic tasks that require clinical reasoning and cross-source validation.

Syntology lines on 23 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.