Cover Image

Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pulick, Eric, Menkov, Vladimir, Mintz, Yonatan, Kantor, Paul, Bier, Vicki
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward a Metrology for Artificial Intelligence: Hidden-Rule Environments and Reinforcement Learning
by: Mathew, Christo, et al.
Published: (2025)

An Adaptive Control Approach to Treatment Selection for Substance Use Disorders
by: Pulick, Eric, et al.
Published: (2025)

Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
by: Pulick, Eric, et al.
Published: (2026)

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems
by: Gutfraind, Alexander, et al.
Published: (2025)

Is there Value in Reinforcement Learning?
by: Fox, Lior, et al.
Published: (2025)

Applications of 0-1 Neural Networks in Prescription and Prediction
by: Patil, Vrishabh, et al.
Published: (2024)

Training Interactive Agent in Large FPS Game Map with Rule-enhanced Reinforcement Learning
by: Zhang, Chen, et al.
Published: (2024)

Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
by: Veith, Eric MSP, et al.
Published: (2024)

Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning
by: Hudák, David, et al.
Published: (2026)

Multiagent Reinforcement Learning for Liquidity Games
by: Vidler, Alicia, et al.
Published: (2026)

Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
by: Liao, Yi, et al.
Published: (2025)

Gradient Coupling: The Hidden Barrier to Generalization in Agentic Reinforcement Learning
by: Liu, Jingyu, et al.
Published: (2025)

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
by: Adams, Katherine B., et al.
Published: (2023)

Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
by: Li, Fengxu, et al.
Published: (2025)

Words that make SENSE: Sensorimotor Norms in Learned Lexical Token Representations
by: Gupta, Abhinav, et al.
Published: (2026)

RLSLM: A Hybrid Reinforcement Learning Framework Aligning Rule-Based Social Locomotion Model with Human Social Norms
by: Kou, Yitian, et al.
Published: (2025)

Predictive Traffic Rule Compliance using Reinforcement Learning
by: Huang, Yanliang, et al.
Published: (2025)

Game-Theoretic Multiagent Reinforcement Learning
by: Yang, Yaodong, et al.
Published: (2020)

Learning Logical Rules using Minimum Message Length
by: Sharma, Ruben, et al.
Published: (2025)

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
by: Han, Yujin, et al.
Published: (2025)

Distilling Deep Reinforcement Learning into Interpretable Fuzzy Rules: An Explainable AI Framework
by: Araballi, Sanup S., et al.
Published: (2026)

PyTAG: Tabletop Games for Multi-Agent Reinforcement Learning
by: Balla, Martin, et al.
Published: (2024)

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
by: Wang, Li, et al.
Published: (2025)

SPRIG: Stackelberg Perception-Reinforcement Learning with Internal Game Dynamics
by: Martinez-Lopez, Fernando, et al.
Published: (2025)

Playing a Strategy Game with Knowledge-Based Reinforcement Learning
by: Voss, Viktor, et al.
Published: (2019)

Learning the Latent Rules of a Game from Data: A Chess Story
by: Fauber, Ben
Published: (2024)

Impartial Games: A Challenge for Reinforcement Learning
by: Zhou, Bei, et al.
Published: (2022)

Learning Hidden Subgoals under Temporal Ordering Constraints in Reinforcement Learning
by: Xu, Duo, et al.
Published: (2024)

On the Hidden Objective Biases of Group-based Reinforcement Learning
by: Fontana, Aleksandar, et al.
Published: (2026)

Learning Quadruped Locomotion Policies using Logical Rules
by: DeFazio, David, et al.
Published: (2021)

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025)

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
by: Xie, Tian, et al.
Published: (2025)

Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error Correction
by: Li, Yilin, et al.
Published: (2025)

Finding Kissing Numbers with Game-theoretic Reinforcement Learning
by: Ma, Chengdong, et al.
Published: (2025)

Semantic Association Rule Learning from Time Series Data and Knowledge Graphs
by: Karabulut, Erkan, et al.
Published: (2023)

Learning Rules from Rewards
by: Puebla, Guillermo, et al.
Published: (2022)

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
by: Luo, Haozheng, et al.
Published: (2026)

Adaptive Shielding for Safe Reinforcement Learning under Hidden-Parameter Dynamics Shifts
by: Kwon, Minjae, et al.
Published: (2025)

Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learning
by: Adhikari, Noah, et al.
Published: (2024)

Transforming Game Play: A Comparative Study of DCQN and DTQN Architectures in Reinforcement Learning
by: Stigall, William A.
Published: (2024)