Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Julian Togelius — most-cited papers & profile · AI for Code
← authors
·
overview
Julian Togelius
25
papers ·
419
citations ·
60
h-index
City University of New York · Noom (United States) · NOF Corporation (Japan) · New York University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for General Video Game AI
2018 · 140 citations
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation
2018 · 119 citations
Learning Controllable Content Generators
2021 · 42 citations
Learning Controllable 3D Level Generators
2022 · 26 citations
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning
2022 · 24 citations
Autoencoder-augmented Neuroevolution for Visual Doom Playing
2017 · 23 citations
Playing Atari with Six Neurons
2018 · 15 citations
Rotation, Translation, and Cropping for Zero-Shot Generalization
2020 · 12 citations
Enhancing Player Enjoyment with a Two-Tier DRL and LLM-Based Agent System for Fighting Games
2025 · 1 citations
Learning Local Constraints for Reinforcement-Learned Content Generators
2026
Video Game Level Design as a Multi-Agent Reinforcement Learning Problem
2025
PuzzleJAX: A Benchmark for Reasoning and Learning
2025
PCGRLLM: Large Language Model-Driven Reward Design for Procedural Content Generation Reinforcement Learning
2025
Superstition in the Network: Deep Reinforcement Learning Plays Deceptive Games
2019
Reinforcement Learning with Dual-Observation for General Video Game Playing
2020
Topics
Game AI
Exploration
Model-Based RL
Value-Based
Meta-RL
Safe RL
RLHF & Alignment
cs.AI
cs.LG
Policy Gradient