ReviewEntropy (Basel, Switzerland)2023
An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey.
Review in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Curiosity-Driven Exploration with Information Bottleneck Representations and Matrix-Based Mutual Information.Entropy (Basel, Switzerland) · 2026Article
- Unraveling the influence of task designs and intrinsic motivation in effort-based decision-making.Memory & cognition · 2026Article
- Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism.Scientific reports · 2025Article
- Novelty as a drive of human exploration in complex stochastic environments.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Brain-inspired learning rules for spiking neural network-based control: a tutorial.Biomedical engineering letters · 2025Review
- Article
- Complex behavior from intrinsic motivation to occupy future action-state path space.Nature communications · 2024Article
- Intrinsic motivation in cognitive architecture: intellectual curiosity originated from pattern discovery.Frontiers in artificial intelligence · 2024Article
- Data-Driven Robotic Manipulation of Cloth-like Deformable Objects: The Present, Challenges and Future Prospects.Sensors (Basel, Switzerland) · 2023Review
- Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.Sensors (Basel, Switzerland) · 2022Article
- Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots.Frontiers in neurorobotics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The reinforcement learning (RL) research area is very active, with an important number of new contributions, especially considering the emergent field of deep RL (DRL). However, a number of scientific and technical challenges still need to be resolved, among which we acknowledge the
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.