Cover Image

PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Earle, Sam, Jiang, Zehua, Togelius, Julian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Video Game Level Design as a Multi-Agent Reinforcement Learning Problem
by: Earle, Sam, et al.
Published: (2025)

Enhancing Player Enjoyment with a Two-Tier DRL and LLM-Based Agent System for Fighting Games
by: Wang, Shouren, et al.
Published: (2025)

DreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft
by: Earle, Sam, et al.
Published: (2024)

PuzzleJAX: A Benchmark for Reasoning and Learning
by: Earle, Sam, et al.
Published: (2025)

Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents
by: Earle, Sam, et al.
Published: (2024)

Learning Local Constraints for Reinforcement-Learned Content Generators
by: Bhaumik, Debosmita, et al.
Published: (2026)

PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
by: Baek, In-Chang, et al.
Published: (2025)

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games
by: Khalifa, Ahmed, et al.
Published: (2025)

ScriptDoctor: Automatic Generation of PuzzleScript Games via Large Language Models and Tree Search
by: Earle, Sam, et al.
Published: (2025)

Making New Connections: LLMs as Puzzle Generators for The New York Times' Connections Word Game
by: Merino, Tim, et al.
Published: (2024)

G-PCGRL: Procedural Graph Data Generation via Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2024)

Missed Connections: Lateral Thinking Puzzles for Large Language Models
by: Todd, Graham, et al.
Published: (2024)

Reinforcement Learning for Generative AI: A Survey
by: Cao, Yuanjiang, et al.
Published: (2023)

The Generalization Gap in Offline Reinforcement Learning
by: Mediratta, Ishita, et al.
Published: (2023)

All Stories Are One Story: Emotional Arc Guided Procedural Game Level Generation
by: Wen, Yunge, et al.
Published: (2025)

Doubly Mild Generalization for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2024)

Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
by: Liao, Xiao-Cheng, et al.
Published: (2025)

Smaller Abstract State Spaces Enable Cross-Scale Generalization in Reinforcement Learning
by: Mustakim, Nasehatul, et al.
Published: (2026)

Toward Reproducible Cross-Backend Compatibility for Deep Learning: A Configuration-First Framework with Three-Tier Verification
by: Li, Zehua
Published: (2025)

IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
by: Baek, In-Chang, et al.
Published: (2025)

TSSR: Two-Stage Swap-Reward-Driven Reinforcement Learning for Character-Level SMILES Generation
by: Levine, Jacob Ede, et al.
Published: (2026)

Horizon Generalization in Reinforcement Learning
by: Myers, Vivek, et al.
Published: (2025)

Flexible Blood Glucose Control: Offline Reinforcement Learning from Human Feedback
by: Emerson, Harry, et al.
Published: (2025)

Safe Reinforcement Learning for Real-World Engine Control
by: Bedei, Julian, et al.
Published: (2025)

Generalization Limits of Reinforcement Learning Alignment
by: Shida, Haruhi, et al.
Published: (2026)

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning
by: Straka, Matej, et al.
Published: (2025)

Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies
by: Yu, Jiajie, et al.
Published: (2024)

A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments
by: Yiu, Franklin, et al.
Published: (2025)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
by: Hong, Ilgee, et al.
Published: (2024)

SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
by: Wang, Prince Zizhuang, et al.
Published: (2026)

Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
by: Choi, Andrew, et al.
Published: (2026)

TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer
by: Wang, Jiawei, et al.
Published: (2026)

Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)

HALO: Hierarchical Reinforcement Learning for Large-Scale Adaptive Traffic Signal Control
by: Zhu, Yaqiao, et al.
Published: (2025)

Amorphous Fortress Online: Collaboratively Designing Open-Ended Multi-Agent AI and Game Environments
by: Charity, M, et al.
Published: (2025)

Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning
by: Franceschelli, Giorgio, et al.
Published: (2024)

HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning
by: Zou, Qingyun, et al.
Published: (2026)

Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach
by: Fan, Junchao, et al.
Published: (2025)

Human-Inspired Multi-Level Reinforcement Learning
by: Wu, Mingkang, et al.
Published: (2025)

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling
by: Sinha, Abhijeet, et al.
Published: (2026)