ChatGPT4PCG Competition: Character-like Level Generation for Science Birds
Fuente:
arXiv
Saved in:
| Main Authors: | Taveekitworachai, Pittawat, Abdullah, Febri, Dewantoro, Mury F., Thawonmas, Ruck, Togelius, Julian, Renz, Jochen |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
by: Taveekitworachai, Pittawat, et al.
Published: (2024)
by: Taveekitworachai, Pittawat, et al.
Published: (2024)
Large Language Models are Null-Shot Learners
by: Taveekitworachai, Pittawat, et al.
Published: (2024)
by: Taveekitworachai, Pittawat, et al.
Published: (2024)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants
by: Maldonato, Francesco, et al.
Published: (2024)
by: Maldonato, Francesco, et al.
Published: (2024)
Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)
by: Özkan, Miraç Buğra
Published: (2025)
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)
by: Schipper, Olivier, et al.
Published: (2025)
Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code
by: Haseeb, Muhammad
Published: (2025)
by: Haseeb, Muhammad
Published: (2025)
From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies
by: Römer, Ralf, et al.
Published: (2025)
by: Römer, Ralf, et al.
Published: (2025)
From Search to Reasoning: A Five-Level RAG Capability Framework for Enterprise Data
by: Gill, Gurbinder, et al.
Published: (2025)
by: Gill, Gurbinder, et al.
Published: (2025)
Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
by: Muraleedharan, Anujith, et al.
Published: (2025)
by: Muraleedharan, Anujith, et al.
Published: (2025)
Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
by: Endo, Masafumi, et al.
Published: (2024)
by: Endo, Masafumi, et al.
Published: (2024)
Can AI Assist in Olympiad Coding
by: Ren, Samuel
Published: (2025)
by: Ren, Samuel
Published: (2025)
Detection of ChatGPT Fake Science with the xFakeSci Learning Algorithm
by: Hamed, Ahmed Abdeen, et al.
Published: (2023)
by: Hamed, Ahmed Abdeen, et al.
Published: (2023)
Optimal UGV-UAV Cooperative Partitioning and Inspection of Shortest Paths
by: Nguyen, Ninh, et al.
Published: (2026)
by: Nguyen, Ninh, et al.
Published: (2026)
Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling
by: Liang, Yuanchu, et al.
Published: (2024)
by: Liang, Yuanchu, et al.
Published: (2024)
${\tt KRAFT}$: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
by: Sivaramakrishnan, Aravind, et al.
Published: (2024)
by: Sivaramakrishnan, Aravind, et al.
Published: (2024)
MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
by: Woisetschläger, Herbert, et al.
Published: (2025)
by: Woisetschläger, Herbert, et al.
Published: (2025)
GraphWalk: Enabling Reasoning in Large Language Models through Tool-Based Graph Navigation
by: Ghandi, Taraneh, et al.
Published: (2026)
by: Ghandi, Taraneh, et al.
Published: (2026)
N-Agent Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2024)
by: Wang, Caroline, et al.
Published: (2024)
Quantum Abduction: A New Paradigm for Reasoning under Uncertainty
by: Pareschi, Remo
Published: (2025)
by: Pareschi, Remo
Published: (2025)
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
by: Sairam, S, et al.
Published: (2025)
by: Sairam, S, et al.
Published: (2025)
Open-TI: Open Traffic Intelligence with Augmented Language Model
by: Da, Longchao, et al.
Published: (2023)
by: Da, Longchao, et al.
Published: (2023)
From Next Token Prediction to (STRIPS) World Models
by: Núñez-Molina, Carlos, et al.
Published: (2025)
by: Núñez-Molina, Carlos, et al.
Published: (2025)
An Explainable Collaborative Dialogue System using a Theory of Mind
by: Cohen, Philip R., et al.
Published: (2023)
by: Cohen, Philip R., et al.
Published: (2023)
MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback
by: Abdullah, Ismail Ahmad
Published: (2025)
by: Abdullah, Ismail Ahmad
Published: (2025)
TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
Regret-Aware Policy Optimization: Environment-Level Memory for Replay Suppression under Delayed Harm
by: Hiremath, Prakul Sunil
Published: (2026)
by: Hiremath, Prakul Sunil
Published: (2026)
Resolving Action Bottleneck: Agentic Reinforcement Learning Informed by Token-Level Energy
by: He, Langzhou, et al.
Published: (2026)
by: He, Langzhou, et al.
Published: (2026)
Tulip Agent -- Enabling LLM-Based Agents to Solve Tasks Using Large Tool Libraries
by: Ocker, Felix, et al.
Published: (2024)
by: Ocker, Felix, et al.
Published: (2024)
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
by: Hildebrand, Samuel, et al.
Published: (2025)
by: Hildebrand, Samuel, et al.
Published: (2025)
Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
by: Perazzolo, Diego, et al.
Published: (2025)
by: Perazzolo, Diego, et al.
Published: (2025)
Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
by: Albiero, Daniel, et al.
Published: (2026)
by: Albiero, Daniel, et al.
Published: (2026)
Partially Observable Reference Policy Programming: Solving POMDPs Sans Numerical Optimisation
by: Kim, Edward, et al.
Published: (2025)
by: Kim, Edward, et al.
Published: (2025)
Sketch Decompositions for Classical Planning via Deep Reinforcement Learning
by: Aichmüller, Michael, et al.
Published: (2024)
by: Aichmüller, Michael, et al.
Published: (2024)
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
by: George, Robert Joseph, et al.
Published: (2025)
by: George, Robert Joseph, et al.
Published: (2025)
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
by: Chapman, James, et al.
Published: (2025)
by: Chapman, James, et al.
Published: (2025)
Privacy Preserving Multi Agent Path Finding
by: Lehman, Rotem Lev, et al.
Published: (2026)
by: Lehman, Rotem Lev, et al.
Published: (2026)
From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning
by: Tomashevskiy, Timofey
Published: (2026)
by: Tomashevskiy, Timofey
Published: (2026)
FlowRL: Flow-Augmented Few-Shot Reinforcement Learning for Semi-Structured Sensor Data
by: Pivezhandi, Mohammad, et al.
Published: (2024)
by: Pivezhandi, Mohammad, et al.
Published: (2024)
EduQate: Generating Adaptive Curricula through RMABs in Education Settings
by: Tio, Sidney, et al.
Published: (2024)
by: Tio, Sidney, et al.
Published: (2024)
Similar Items
-
ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation
by: Taveekitworachai, Pittawat, et al.
Published: (2024) -
Large Language Models are Null-Shot Learners
by: Taveekitworachai, Pittawat, et al.
Published: (2024) -
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024) -
Reinforcement Learning control strategies for Electric Vehicles and Renewable energy sources Virtual Power Plants
by: Maldonato, Francesco, et al.
Published: (2024) -
Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)