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01/26/2023
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects
Planning as heuristic search is one of the most successful approaches to...
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10/14/2022
Understanding Multi-link Operation in Wi-Fi 7: Performance, Anomalies, and Solutions
Will Wi-Fi 7, conceived to support extremely high throughput, also deliv...
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05/31/2022
Hierarchies of Reward Machines
Reward machines (RMs) are a recent formalism for representing the reward...
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05/30/2022
Performance and Coexistence Evaluation of IEEE 802.11be Multi-link Operation
Wi-Fi 7 is already in the making, and Multi-Link Operation (MLO) is one ...
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05/12/2022
Computing Programs for Generalized Planning as Heuristic Search
Although heuristic search is one of the most successful approaches to cl...
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05/10/2022
Scaling-up Generalized Planning as Heuristic Search with Landmarks
Landmarks are one of the most effective search heuristics for classical ...
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05/04/2022
State Representation Learning for Goal-Conditioned Reinforcement Learning
This paper presents a novel state representation for reward-free Markov ...
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06/03/2021
Hierarchical Representation Learning for Markov Decision Processes
In this paper we present a novel method for learning hierarchical repres...
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03/26/2021
Generalized Planning as Heuristic Search
Although heuristic search is one of the most successful approaches to cl...
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01/15/2021
Hierarchical Width-Based Planning and Learning
Width-based search methods have demonstrated state-of-the-art performanc...
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11/12/2020
Hierarchical reinforcement learning for efficient exploration and transfer
Sparse-reward domains are challenging for reinforcement learning algorit...
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09/09/2020
Improved Exploration in Factored Average-Reward MDPs
We consider a regret minimization task under the average-reward criterio...
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09/08/2020
Induction and Exploitation of Subgoal Automata for Reinforcement Learning
In this paper we present ISA, an approach for learning and exploiting su...
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07/27/2020
Fast active learning for pure exploration in reinforcement learning
Realistic environments often provide agents with very limited feedback. ...
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06/11/2020
Adaptive Reward-Free Exploration
Reward-free exploration is a reinforcement learning setting recently stu...
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06/10/2020
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
We propose MDP-GapE, a new trajectory-based Monte-Carlo Tree Search algo...
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05/17/2020
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G Networks
Without any doubt, Machine Learning (ML) will be an important driver of ...
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05/16/2020
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
The lifelong control problem of an off-grid microgrid is composed of two...
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11/29/2019
Induction of Subgoal Automata for Reinforcement Learning
In this work we present ISA, a novel approach for learning and exploitin...
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11/21/2019
Generalized Planning with Positive and Negative Examples
Generalized planning aims at computing an algorithm-like structure (gene...
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11/07/2019
Hierarchical Finite State Controllers for Generalized Planning
Finite State Controllers (FSCs) are an effective way to represent sequen...
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10/11/2019
Generalized Planning With Procedural Domain Control Knowledge
Generalized planning is the task of generating a single solution that is...
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10/08/2019
A Flexible Machine Learning-Aware Architecture for Future WLANs
Lots of hopes have been placed in Machine Learning (ML) as a key enabler...
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10/08/2019
A Flexible Machine Learning-Aware Architecturefor Future WLANs
Lots of hopes have been placed in Machine Learning (ML) as a key enabler...
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07/25/2019
Decision Tree Learning for Uncertain Clinical Measurements
Clinical decision requires reasoning in the presence of imperfect data. ...
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06/19/2019
Solving Multiagent Planning Problems with Concurrent Conditional Effects
In this work we present a novel approach to solving concurrent multiagen...
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04/12/2019
Deep Policies for Width-Based Planning in Pixel Domains
Width-based planning has demonstrated great success in recent years due ...
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06/15/2018
Improving width-based planning with compact policies
Optimal action selection in decision problems characterized by sparse, d...
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06/07/2018
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
This document contains the outcome of the first Human behaviour and mach...
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05/28/2018
Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs
Spatial Reuse (SR) has recently gained attention for performance maximiz...
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10/31/2017
Collaborative Spatial Reuse in Wireless Networks via Selfish Multi-Armed Bandits
Next-generation wireless deployments are characterized by being dense an...
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05/22/2017
A unified view of entropy-regularized Markov decision processes
We propose a general framework for entropy-regularized average-reward re...
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03/10/2016
Hierarchical Linearly-Solvable Markov Decision Problems
We present a hierarchical reinforcement learning framework that formulat...
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01/15/2014
The Role of Macros in Tractable Planning
This paper presents several new tractability results for planning based ...
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01/15/2014
Planning over Chain Causal Graphs for Variables with Domains of Size 5 Is NP-Hard
Recently, considerable focus has been given to the problem of determinin...
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10/31/2011