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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-3618-5_5openalex-snapshot

Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching

inferredcites →https://doi.org/10.1007/bf00992699openalex-snapshot

Self-improving reactive agents based on reinforcement learning, planning and teaching

inferredcites →https://doi.org/10.1016/j.neunet.2005.06.042openalex-snapshot

Framewise phoneme classification with bidirectional LSTM and other neural network architectures

inferredcites →https://doi.org/10.1038/nature14236openalex-snapshot

Human-level control through deep reinforcement learning

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1038/nature16961openalex-snapshot

Mastering the game of Go with deep neural networks and tree search

inferredcites →https://doi.org/10.1109/msp.2012.2205597openalex-snapshot

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

inferredcites →https://doi.org/10.1109/socialcom.2010.33openalex-snapshot

Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network

inferredcites →https://doi.org/10.1145/1645953.1646225openalex-snapshot

Predicting the volume of comments on online news stories

inferredcites →https://doi.org/10.1145/1807167.1807306openalex-snapshot

TwitterMonitor

inferredcites →https://doi.org/10.1145/1963192.1963222openalex-snapshot

Predicting popular messages in Twitter

inferredcites →https://doi.org/10.1145/1988688.1988766openalex-snapshot

Predicting the popularity of online articles based on user comments

inferredcites →https://doi.org/10.1145/2492517.2492646openalex-snapshot

An exploration of discussion threads in social news sites

inferredcites →https://doi.org/10.1145/2783258.2783401openalex-snapshot

SEISMIC

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/985692.985761openalex-snapshot

Slash(dot) and burn

inferredcites →https://doi.org/10.1561/2000000039openalex-snapshot

Deep Learning: Methods and Applications

inferredcites →https://doi.org/10.1561/9781601988157openalex-snapshot

Deep Learning: Methods and Applications

inferredcites →https://doi.org/10.1609/icwsm.v4i1.14062openalex-snapshot

What’s Worthy of Comment? Content and Comment Volume in Political Blogs

inferredcites →https://doi.org/10.1609/icwsm.v7i1.14408openalex-snapshot

What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media

inferredcites →https://doi.org/10.18653/v1/d15-1001openalex-snapshot

Language Understanding for Text-based Games using Deep Reinforcement Learning

inferredcites →https://doi.org/10.18653/v1/d15-1239openalex-snapshot

Talking to the crowd: What do people react to in online discussions?

inferredcites →https://doi.org/10.18653/v1/d16-1261openalex-snapshot

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning

inferredcites →https://doi.org/10.18653/v1/e17-1042openalex-snapshot

A Network-based End-to-End Trainable Task-oriented Dialogue System

inferredcites →https://doi.org/10.18653/v1/p16-1153openalex-snapshot

Deep Reinforcement Learning with a Natural Language Action Space

inferredcites →https://doi.org/10.3115/1289189.1289246openalex-snapshot

Automatic learning of dialogue strategy using dialogue simulation and reinforcement learning

inferredcites →https://doi.org/10.3115/1687878.1687892openalex-snapshot

Reinforcement learning for mapping instructions to actions

inferredcites →https://doi.org/10.3115/v1/n15-1020openalex-snapshot

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

inferredcites →https://doi.org/10.3115/v1/p14-1017openalex-snapshot

The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

inferredcites →https://doi.org/10.3115/v1/p15-2085openalex-snapshot

Point Process Modelling of Rumour Dynamics in Social Media

inferredcites →https://doi.org/10.48550/arxiv.1202.0332openalex-snapshot

The Pulse of News in Social Media: Forecasting Popularity

inferredcites →https://doi.org/10.48550/arxiv.1509.02971openalex-snapshot

Continuous control with deep reinforcement learning

inferredcites →https://doi.org/10.48550/arxiv.1512.07679openalex-snapshot

Deep Reinforcement Learning in Large Discrete Action Spaces

inferredcites →https://doi.org/10.48550/arxiv.1604.06778openalex-snapshot

Benchmarking Deep Reinforcement Learning for Continuous Control

inferredcites →https://doi.org/10.5555/1005332.1016794openalex-snapshot

Reinforcement Learning with Factored States and Actions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1002/hbe2.115openalex-snapshot

Arming the public with artificial intelligence to counter social bots

inferred← citeshttps://doi.org/10.1007/978-3-031-34586-9_14openalex-snapshot

Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies

inferred← citeshttps://doi.org/10.1007/978-3-031-53720-2_16openalex-snapshot

Reinforcement Learning in Conversational Recommendation Systems (CRS): AI’s Personal Touch

inferred← citeshttps://doi.org/10.1007/978-981-96-6599-0_23openalex-snapshot

A Novel Visual-Enhanced Dual Stream Long-Term Decision Framework for Large Language Model Agents

inferred← citeshttps://doi.org/10.1007/s10462-022-10205-5openalex-snapshot

Survey on reinforcement learning for language processing

inferred← citeshttps://doi.org/10.1007/s11633-018-1128-9openalex-snapshot

Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base

inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103435openalex-snapshot

SAC-based UAV mobile edge computing for energy minimization and secure data transmission

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122254openalex-snapshot

Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook

inferred← citeshttps://doi.org/10.1098/rspa.2022.0383openalex-snapshot

Planning spatial networks with Monte Carlo tree search

inferred← citeshttps://doi.org/10.1109/bigdata47090.2019.9006594openalex-snapshot

Modelling Online Comment Threads from their Start

inferred← citeshttps://doi.org/10.1109/icdm.2019.00028openalex-snapshot

Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory

inferred← citeshttps://doi.org/10.1109/icmla52953.2021.00081openalex-snapshot

Building Action Sets in a Deep Reinforcement Learner

inferred← citeshttps://doi.org/10.1109/ijcnn48605.2020.9207496openalex-snapshot

"I’m Sorry Dave, I’m Afraid I Can’t Do That" Deep Q-Learning from Forbidden Actions

inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796701openalex-snapshot

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

inferred← citeshttps://doi.org/10.1109/tmm.2024.3521768openalex-snapshot

SkyML: A MLaaS Federation Design for Multicloud-Based Multimedia Analytics

inferred← citeshttps://doi.org/10.1109/tnnls.2021.3130587openalex-snapshot

SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1109/tvt.2021.3075860openalex-snapshot

Energy Minimization in UAV-Aided Networks: Actor-Critic Learning for Constrained Scheduling Optimization

inferred← citeshttps://doi.org/10.1145/3148055.3148071openalex-snapshot

What Ignites a Reply?

inferred← citeshttps://doi.org/10.1145/3328526.3329634openalex-snapshot

Iterated Deep Reinforcement Learning in Games

inferred← citeshttps://doi.org/10.1145/3338533.3366583openalex-snapshot

Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning

inferred← citeshttps://doi.org/10.1145/3729878.3746703openalex-snapshot

Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1162/tacl_a_00009openalex-snapshot

Conversation Modeling on Reddit Using a Graph-Structured LSTM

inferred← citeshttps://doi.org/10.1177/14614448211062070openalex-snapshot

Does Godwin’s law (rule of Nazi analogies) apply in observable reality? An empirical study of selected words in 199 million Reddit posts

inferred← citeshttps://doi.org/10.1201/9781351006620-6openalex-snapshot

Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.1609/aaai.v38i16.29754openalex-snapshot

Large Language Models Are Neurosymbolic Reasoners

inferred← citeshttps://doi.org/10.1609/aiide.v16i1.7445openalex-snapshot

Combinatorial Q-Learning for Dou Di Zhu

inferred← citeshttps://doi.org/10.1609/icwsm.v12i1.14999openalex-snapshot

Predicting News Coverage of Scientific Articles

inferred← citeshttps://doi.org/10.1609/icwsm.v16i1.19361openalex-snapshot

Judging a Book by Its Cover: Predicting the Marginal Impact of Title on Reddit Post Popularity

inferred← citeshttps://doi.org/10.17760/d20406226openalex-snapshot

Analyzing the usage of source texts in new documents

inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.316openalex-snapshot

Quantitative Day Trading from Natural Language using Reinforcement Learning

inferred← citeshttps://doi.org/10.18653/v1/2022.wordplay-1.1openalex-snapshot

A Systematic Survey of Text Worlds as Embodied Natural Language Environments

inferred← citeshttps://doi.org/10.18653/v1/2023.acl-short.48openalex-snapshot

Measuring the Effect of Influential Messages on Varying Personas

inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.204openalex-snapshot

Behavior Cloned Transformers are Neurosymbolic Reasoners

inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.369openalex-snapshot

Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games

inferred← citeshttps://doi.org/10.18653/v1/d18-1376openalex-snapshot

Thread Popularity Prediction and Tracking with a Permutation-invariant Model

inferred← citeshttps://doi.org/10.18653/v1/p18-5007openalex-snapshot

Deep Reinforcement Learning for NLP

inferred← citeshttps://doi.org/10.21437/interspeech.2020-2892openalex-snapshot

A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning

inferred← citeshttps://doi.org/10.24963/ijcai.2017/554openalex-snapshot

Multimodal Storytelling via Generative Adversarial Imitation Learning

inferred← citeshttps://doi.org/10.3390/electronics9060936openalex-snapshot

DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling

inferred← citeshttps://doi.org/10.48550/arxiv.1701.07274openalex-snapshot

Deep Reinforcement Learning: An Overview

inferred← citeshttps://doi.org/10.48550/arxiv.1805.07274openalex-snapshot

Language Expansion In Text-Based Games

inferred← citeshttps://doi.org/10.48550/arxiv.1812.11619openalex-snapshot

Using Reinforcement Learning to find Efficient Qubit Routing Policies for Deployment in Near-term Quantum Computers

inferred← citeshttps://doi.org/10.48550/arxiv.1910.02078openalex-snapshot

I'm sorry Dave, I'm afraid I can't do that, Deep Q-learning from forbidden action

inferred← citeshttps://doi.org/10.48550/arxiv.2010.12001openalex-snapshot

Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing

inferred← citeshttps://doi.org/10.48550/arxiv.2110.15481openalex-snapshot

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.5715/jnlp.26.59openalex-snapshot

Discourse Act Classification Using Discussion Patterns with Neural Networks

inferred← citeshttps://doi.org/10.70675/1332feb3z89daz43fcz84c2z361630c8d76dopenalex-snapshot

Utilisation de la simulation à base d'agents et de la théorie de l'argumentation pour mieux appréhender la diffusion et l'appropriation des outils numériques en agriculture

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