2020.4.6 AI papers

 

03-31-2020

State-of-Art-Reviewing: A Radical Proposal to Improve Scientific Publication
by Samuel Albanie et al

 

 

 

03-31-2020

Explosive Proofs of Mathematical Truths
by Scott Viteri et al

 

 

 

03-31-2020

Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
by Mariko Isogawa et al

 

 

 

04-01-2020

MetaPoison: Practical General-purpose Clean-label Data Poisoning
by W. Ronny Huang et al

 

 

 

04-02-2020

Action Space Shaping in Deep Reinforcement Learning
by Anssi Kanervisto et al

 

 

 

03-31-2020

Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning
by Harshad Khadilkar et al

 

 

 

04-02-2020

PaStaNet: Toward Human Activity Knowledge Engine
by Yong-Lu Li et al

 

 

 

03-31-2020

HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
by Pin-Chu Yang et al

 

 

 

04-01-2020

Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
by Marco Pleines et al

 

 

 

04-02-2020

Improving the Utility of Knowledge Graph Embeddings with Calibration
by Tara Safavi et al

 

 

 

04-01-2020

A Survey on Conversational Recommender Systems
by Dietmar Jannach et al

 

 

 

03-31-2020

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks
by Jacob Schrum et al

 

 

 

04-01-2020

Exploration of Reinforcement Learning for Event Camera using Car-like Robots
by Riku Arakawa et al

 

 

 

04-01-2020

Robots in the Danger Zone: Exploring Public Perception through Engagement
by David A. Robb et al

 

 

 

03-31-2020

Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
by Liam Hiley et al

 

 

 

03-31-2020

Ontology-based Interpretable Machine Learning for Textual Data
by Phung Lai et al

 

 

 

03-31-2020

A macro agent and its actions
by Larissa Albantakis et al

 

 

 

04-01-2020

You can do RLAs for IRV
by Michelle Blom et al

 

 

 

03-31-2020

SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Bases
by Yawei Sun et al

 

 

 

04-01-2020

Bias in Machine Learning What is it Good (and Bad) for?
by Thomas Hellström et al

 

 

 

04-01-2020

Constrained-Space Optimization and Reinforcement Learning for Complex Tasks
by Ya-Yen Tsai et al

 

 

 

04-03-2020

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control
by Supriyo Ghosh et al

 

 

 

04-02-2020

Does Comma Selection Help To Cope With Local Optima
by Benjamin Doerr

 

 

 

04-02-2020

R3: A Reading Comprehension Benchmark Requiring Reasoning Processes
by Ran Wang et al

 

 

 

03-31-2020

SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings
by Wenyu Han et al

 

 

 

04-03-2020

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning
by Paulo R. de O. da Costa et al

 

 

 

04-02-2020

Safe Reinforcement Learning via Projection on a Safe Set: How to Achieve Optimality?
by Sebastien Gros et al

 

 

 

03-31-2020

Unification-based Reconstruction of Explanations for Science Questions
by Marco Valentino et al

 

 

 

03-31-2020

Learning to Ask Medical Questions using Reinforcement Learning
by Uri Shaham et al

 

 

 

03-31-2020

On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation
by Eva Vanmassenhove

 

 

 

03-31-2020

Optimal Bidding Strategy without Exploration in Real-time Bidding
by Aritra Ghosh et al

 

 

 

04-01-2020

Software Language Comprehension using a Program-Derived Semantic Graph
by Roshni G. Iyer et al

 

 

 

04-02-2020

Value Driven Representation for Human-in-the-Loop Reinforcement Learning
by Ramtin Keramati et al

 

 

 

04-02-2020

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning
by Weichao Mao et al

 

 

 

04-03-2020

A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
by Samuel Läubli et al

 

 

 

04-02-2020

Trustless parallel local search for effective distributed algorithm discovery
by Zvezdin Besarabov et al

 

 

 

03-31-2020

Mimicking Evolution with Reinforcement Learning
by João P. Abrantes et al

 

 

 

03-31-2020

Automated Configuration of Negotiation Strategies
by Bram M. Renting et al

 

 

 

04-01-2020

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
by Zhuangdi Zhu et al

 

 

 

04-03-2020

Reinforcement Learning for Mixed-Integer Problems Based on MPC
by Sebastien Gros et al

 

 

 

04-01-2020

Work in Progress: Temporally Extended Auxiliary Tasks
by Craig Sherstan et al

 

 

 

04-01-2020

No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
by Andrea Celli et al

 

 

 

04-02-2020

Sum-product networks: A survey
by Iago París et al

 

 

 

04-02-2020

Benchmarking End-to-End Behavioural Cloning on Video Games
by Anssi Kanervisto et al

 

 

 

04-01-2020

A New Challenge: Approaching Tetris Link with AI
by Matthias Muller-Brockhausen et al

 

 

 

03-31-2020

Application and Assessment of Deep Learning for the Generation of Potential NMDA Receptor Antagonists
by Katherine J. Schultz et al

 

 

 

04-03-2020

Towards Designer Modeling through Design Style Clustering
by Alberto Alvarez et al

 

 

 

03-31-2020

Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competition
by Zhentao Tang et al

 

 

 

04-02-2020

An anytime tree search algorithm for the 2018 ROADEF/EURO challenge glass cutting problem
by Luc Libralesso et al

 

 

 

03-31-2020

Will we ever have Conscious Machines?
by Patrick Krauss et al

 

 

 

04-01-2020

Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
by Jianyu Su et al

 

 

 

04-02-2020

General Identification of Dynamic Treatment Regimes Under Interference
by Eli Sherman et al

 

 

 

04-02-2020

Combating The Machine Ethics Crisis: An Educational Approach
by Tai Vu

 

 

 

03-31-2020

Augmented Q Imitation Learning (AQIL)
by Xiao Lei Zhang et al

 

 

 

04-03-2020

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units
by Zina Ibrahim et al

 

 

 

04-02-2020

Improving Confidence in the Estimation of Values and Norms
by Luciano Cavalcante Siebert et al

 

 

 

03-31-2020

Artificial chemistry experiments with chemlambda, lambda calculus, interaction combinators
by Marius Buliga

 

 

 

03-31-2020

Personal Health Knowledge Graphs for Patients
by Nidhi Rastogi et al

 

 

 

03-31-2020

Mining International Political Norms from the GDELT Database
by Rohit Murali et al

 

 

 

 

 
Craig Smith