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Algorithms, Volume 15, Issue 3

March 2022 - 30 articles

Cover Story: Reinforcement learning (RL) with sparse rewards is still an open challenge. Classic methods rely on learning via extrinsic rewards, and in situations where these are sparse, the agent may not learn at all. Similarly, if the agent gets rewards that create suboptimal modes of the objective function, it will prematurely stop exploring. Recent methods add intrinsic rewards to encourage exploration, but they lead to a non-stationary target for the Q-function. In this paper, we present a novel approach that (1) plans exploration far into the future using a long-term visit count and (2) decouples exploration and exploitation by learning a separate function. We also propose new environments for benchmarking exploration in RL. Results show that our approach outperforms existing methods. View this paper
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Articles (30)

  • Article
  • Open Access
8 Citations
3,947 Views
14 Pages

Analysis of Explainable Goal-Driven Reinforcement Learning in a Continuous Simulated Environment

  • Ernesto Portugal,
  • Francisco Cruz,
  • Angel Ayala and
  • Bruno Fernandes

9 March 2022

Currently, artificial intelligence is in an important period of growth. Due to the technology boom, it is now possible to solve problems that could not be resolved previously. For example, through goal-driven learning, it is possible that intelligent...

  • Article
  • Open Access
2 Citations
4,031 Views
24 Pages

Kleene Algebra to Compute Invariant Sets of Dynamical Systems

  • Thomas Le Mézo,
  • Luc Jaulin,
  • Damien Massé and
  • Benoit Zerr

8 March 2022

In this paper, we show that a basic fixed point method used to enclose the greatest fixed point in a Kleene algebra will allow us to compute inner and outer approximations of invariant-based sets for continuous-time nonlinear dynamical systems. Our c...

  • Article
  • Open Access
2 Citations
3,351 Views
17 Pages

8 March 2022

At present, the unsupervised visual representation learning of the point cloud model is mainly based on generative methods, but the generative methods pay too much attention to the details of each point, thus ignoring the learning of semantic informa...

  • Article
  • Open Access
9 Citations
4,851 Views
16 Pages

8 March 2022

Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy. To realize agricultural machinery scheduling opti...

  • Article
  • Open Access
7 Citations
4,056 Views
32 Pages

A Seed-Guided Latent Dirichlet Allocation Approach to Predict the Personality of Online Users Using the PEN Model

  • Saravanan Sagadevan,
  • Nurul Hashimah Ahamed Hassain Malim and
  • Mohd Heikal Husin

8 March 2022

There is a growing interest in topic modeling to decipher the valuable information embedded in natural texts. However, there are no studies training an unsupervised model to automatically categorize the social networks (SN) messages according to pers...

  • Article
  • Open Access
2 Citations
3,115 Views
14 Pages

8 March 2022

Prediction of intrinsic disordered proteins is a hot area in the field of bio-information. Due to the high cost of evaluating the disordered regions of protein sequences using experimental methods, we used a low-complexity prediction scheme. Sequence...

  • Article
  • Open Access
10 Citations
6,204 Views
12 Pages

Dynamic Layout Design Optimization to Improve Patient Flow in Outpatient Clinics Using Genetic Algorithms

  • Jyoti R. Munavalli,
  • Shyam Vasudeva Rao,
  • Aravind Srinivasan and
  • Frits Van Merode

6 March 2022

Evolutionary algorithms, such as genetic algorithms have been used in various optimization problems. In this paper, we propose to apply this algorithm to obtain the layout design/redesign in order to improve the patient flow in an outpatient clinic....

  • Article
  • Open Access
10 Citations
6,061 Views
16 Pages

3 March 2022

Nowadays, eye fatigue is becoming more common globally. However, there was no objective and effective method for eye fatigue detection except the sample survey questionnaire. An eye fatigue detection method by machine learning based on the Single-Cha...

  • Article
  • Open Access
8 Citations
3,945 Views
12 Pages

1 March 2022

Detecting insulators on a power transmission line is of great importance for the safe operation of power systems. Aiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region-convol...

  • Article
  • Open Access
1 Citations
4,258 Views
17 Pages

Predicting Dynamic User–Item Interaction with Meta-Path Guided Recursive RNN

  • Yi Liu,
  • Chengyu Yin,
  • Jingwei Li,
  • Fang Wang and
  • Senzhang Wang

28 February 2022

Accurately predicting user–item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly...

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Algorithms - ISSN 1999-4893