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08/24/2023
On the Consistency of Average Embeddings for Item Recommendation
A prevalent practice in recommender systems consists in averaging item e...
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04/12/2023
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services
Music streaming services often aim to recommend songs for users to exten...
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02/26/2023
Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search
Recent work proposed the UCTMAXSAT algorithm to address Maximum Satisfia...
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02/08/2023
Learning to Play Stochastic Two-player Perfect-Information Games without Knowledge
In this paper, we extend the Descent framework, which enables learning a...
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01/23/2023
Solving the HP model with Nested Monte Carlo Search
In this paper we present a new Monte Carlo Search (MCS) algorithm for fi...
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10/17/2022
Sequential Elimination Voting Games
Voting by sequential elimination is a low-communication voting protocol:...
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10/01/2022
Nested Search versus Limited Discrepancy Search
Limited Discrepancy Search (LDS) is a popular algorithm to search a stat...
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07/26/2022
Planning and Learning: A Review of Methods involving Path-Planning for Autonomous Vehicles
This short review aims to make the reader familiar with state-of-the-art...
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07/04/2022
Refutation of Spectral Graph Theory Conjectures with Monte Carlo Search
We demonstrate how Monte Carlo Search (MCS) algorithms, namely Nested Mo...
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03/28/2022
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability using Tree Search and Graph Neural Networks
Planning under uncertainty is an area of interest in artificial intellig...
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11/12/2021
Generalized Nested Rollout Policy Adaptation with Dynamic Bias for Vehicle Routing
In this paper we present an extension of the Nested Rollout Policy Adapt...
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08/02/2021
Time-based Dynamic Controllability of Disjunctive Temporal Networks with Uncertainty: A Tree Search Approach with Graph Neural Network Guidance
Scheduling in the presence of uncertainty is an area of interest in arti...
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08/02/2021
Learning-based Preference Prediction for Constrained Multi-Criteria Path-Planning
Learning-based methods are increasingly popular for search algorithms in...
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08/02/2021
Optimal Solving of Constrained Path-Planning Problems with Graph Convolutional Networks and Optimized Tree Search
Learning-based methods are growing prominence for planning purposes. How...
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08/02/2021
Constrained Shortest Path Search with Graph Convolutional Neural Networks
Planning for Autonomous Unmanned Ground Vehicles (AUGV) is still a chall...
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04/09/2021
Batch Monte Carlo Tree Search
Making inferences with a deep neural network on a batch of states is muc...
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02/06/2021
Improving Model and Search for Computer Go
The standard for Deep Reinforcement Learning in games, following Alpha Z...
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01/29/2021
Optimizing αμ
αμ is a search algorithm which repairs two defaults of Perfect Informati...
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01/10/2021
Stabilized Nested Rollout Policy Adaptation
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorith...
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12/19/2020
Minimax Strikes Back
Deep Reinforcement Learning (DRL) reaches a superhuman level of play in ...
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08/23/2020
Mobile Networks for Computer Go
The architecture of the neural networks used in Deep Reinforcement Learn...
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05/20/2020
Monte Carlo Inverse Folding
The RNA Inverse Folding problem comes from computational biology. The go...
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03/22/2020
Generalized Nested Rollout Policy Adaptation
Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorith...
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01/27/2020
Polygames: Improved Zero Learning
Since DeepMind's AlphaZero, Zero learning quickly became the state-of-th...
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01/15/2020
Monte Carlo Game Solver
We present a general algorithm to order moves so as to speedup exact gam...
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11/18/2019
The αμ Search Algorithm for the Game of Bridge
αμ is an anytime heuristic search algorithm for incomplete information g...
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07/08/2016