Journal of Artificial Intelligence Research（JAIR ）的ISSUE 71论文列表

卷期号： Issue 71

发布时间：

卷期年份： 2020

卷期官网：

Constraint and Satisfiability Reasoning for Graph Coloring.

The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation.

Contrasting the Spread of Misinformation in Online Social Networks.

Using Machine Learning for Decreasing State Uncertainty in Planning.

Contiguous Cake Cutting: Hardness Results and Approximation Algorithms.

Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification.

On Sparse Discretization for Graphical Games.

Credibility-limited Base Revision: New Classes and Their Characterizations.

Lifted Bayesian Filtering in Multiset Rewriting Systems.

Diagnosis of Deep Discrete-Event Systems.

The Complexity Landscape of Outcome Determination in Judgment Aggregation.

On the Complexity of Learning a Class Ratio from Unlabeled Data.

Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments.

Mapping the landscape of Artificial Intelligence applications against COVID-19.

Annotator Rationales for Labeling Tasks in Crowdsourcing.

Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes.

An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems.

Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study.

Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning.

The Parameterized Complexity of Motion Planning for Snake-Like Robots.

A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems.

AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms.

Epistemic Argumentation Framework: Theory and Computation.

Bounds on the Size of PC and URC Formulas.

Structure from Randomness in Halfspace Learning with the Zero-One Loss.

Qualitative Numeric Planning: Reductions and Complexity.

Modular Structures and Atomic Decomposition in Ontologies.

Deep Reinforcement Learning: A State-of-the-Art Walkthrough.

Point at the Triple: Generation of Text Summaries from Knowledge Base Triples.

Properties of Switch-List Representations of Boolean Functions.

Maximin Share Allocations on Cycles.

Incompatibilities Between Iterated and Relevance-Sensitive Belief Revision.

The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach.

Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search.

To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race.

Belief change and 3-valued logics: Characterization of 19, 683 belief change operators.

Neural Machine Translation: A Review.

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction.