:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bhaumik, Debosmita, Togelius, Julian, Yannakakis, Georgios N., Khalifa, Ahmed
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2605.13570
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evolutionary Level Repair
by: Bhaumik, Debosmita, 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)

PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators
by: Earle, Sam, et al.
Published: (2024)

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

Closing the Affective Loop via Experience-Driven Reinforcement Learning Designers
by: Barthet, Matthew, et al.
Published: (2024)

Continuous Program Search
by: Siper, Matthew, et al.
Published: (2026)

Emotions as Ambiguity-aware Ordinal Representations
by: Wu, Jingyao, et al.
Published: (2025)

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

Affectively Framework: Towards Human-like Affect-Based Agents
by: Barthet, Matthew, et al.
Published: (2024)

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)

Choose Your Weapon: Survival Strategies for Depressed AI Academics
by: Togelius, Julian, et al.
Published: (2023)

Inverse Reinforcement Learning With Constraint Recovery
by: Das, Nirjhar, et al.
Published: (2023)

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

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors
by: Justesen, Niels, et al.
Published: (2024)

Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
by: Tzannetos, Georgios, et al.
Published: (2024)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)

Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
by: Low, Siow Meng, et al.
Published: (2024)

Reinforcement Learning with $ω$-Regular Objectives and Constraints
by: Wagner, Dominik, et al.
Published: (2025)

Conservative Distributional Reinforcement Learning with Safety Constraints
by: Zhang, Hengrui, et al.
Published: (2022)

Probabilistic Constraint for Safety-Critical Reinforcement Learning
by: Chen, Weiqin, et al.
Published: (2023)

A Survey of Constraint Formulations in Safe Reinforcement Learning
by: Wachi, Akifumi, et al.
Published: (2024)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
by: Deutel, Mark, et al.
Published: (2023)

Locally Constrained Representations in Reinforcement Learning
by: Nath, Somjit, et al.
Published: (2022)

PIQL: Projective Implicit Q-Learning with Support Constraint for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2025)

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
by: Yao, Yihang, et al.
Published: (2023)

Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2025)

Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning
by: Shen, Yi, et al.
Published: (2024)

Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2024)

SB-TRPO: Towards Safe Reinforcement Learning with Hard Constraints
by: Wagner, Dominik, et al.
Published: (2025)

Generation Constraint Scaling Can Mitigate Hallucination
by: Kollias, Georgios, et al.
Published: (2024)

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2026)

Large Language Models and Games: A Survey and Roadmap
by: Gallotta, Roberto, et al.
Published: (2024)

Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
by: Jeong, Jaeik, et al.
Published: (2024)

Learning to Hint for Reinforcement Learning
by: Xia, Yu, et al.
Published: (2026)

An Integrated Approach to AI-Generated Content in e-health
by: Ahmed, Tasnim, et al.
Published: (2025)

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

Reinforcement Learning Methods for Neighborhood Selection in Local Search
by: Molinghen, Yannick, et al.
Published: (2026)

Imitation Learning in the Deep Learning Era: A Novel Taxonomy and Recent Advances
by: Chrysomallis, Iason, et al.
Published: (2025)

Constraints as Rewards: Reinforcement Learning for Robots without Reward Functions
by: Ishihara, Yu, et al.
Published: (2025)