Cover Image

CrystalGym: A New Benchmark for Materials Discovery Using Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Govindarajan, Prashant, Reymond, Mathieu, Clavaud, Antoine, Phielipp, Mariano, Miret, Santiago, Chandar, Sarath
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
by: Nilaksh, et al.
Published: (2026)

CoPeP: Benchmarking Continual Pretraining for Protein Language Models
by: Patil, Darshan, et al.
Published: (2026)

GRPO-$λ$: Credit Assignment improves LLM Reasoning
by: Parthasarathi, Prasanna, et al.
Published: (2025)

Efficient Morphology-Aware Policy Transfer to New Embodiments
by: Przystupa, Michael, et al.
Published: (2025)

Are LLMs Ready for Real-World Materials Discovery?
by: Miret, Santiago, et al.
Published: (2024)

Faithfulness Measurable Masked Language Models
by: Madsen, Andreas, et al.
Published: (2023)

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
by: Zholus, Artem, et al.
Published: (2024)

Interpretability Needs a New Paradigm
by: Madsen, Andreas, et al.
Published: (2024)

Sliding Puzzles Gym: A Scalable Benchmark for State Representation in Visual Reinforcement Learning
by: de Oliveira, Bryan L. M., et al.
Published: (2024)

Are self-explanations from Large Language Models faithful?
by: Madsen, Andreas, et al.
Published: (2024)

MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery
by: Kuznetsov, Maksim, et al.
Published: (2026)

Towards Practical Tool Usage for Continually Learning LLMs
by: Huang, Jerry, et al.
Published: (2024)

The Expressive Limits of Diagonal SSMs for State-Tracking
by: Shakerinava, Mehran, et al.
Published: (2026)

Exploring Quantization for Efficient Pre-Training of Transformer Language Models
by: Chitsaz, Kamran, et al.
Published: (2024)

MedGym:A Unified Continuous-Time Benchmark for Dynamic Medical Treatment Reinforcement Learning
by: Wang, Yuepeng, et al.
Published: (2026)

BoxingGym: Benchmarking Progress in Automated Experimental Design and Model Discovery
by: Gandhi, Kanishk, et al.
Published: (2025)

Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning
by: Salaorni, Davide, et al.
Published: (2025)

Mastering Memory Tasks with World Models
by: Samsami, Mohammad Reza, et al.
Published: (2024)

Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
by: Röpke, Willem, et al.
Published: (2024)

SafeOR-Gym: A Benchmark Suite for Safe Reinforcement Learning Algorithms on Practical Operations Research Problems
by: Ramanujam, Asha, et al.
Published: (2025)

Sub-goal Distillation: A Method to Improve Small Language Agents
by: Hashemzadeh, Maryam, et al.
Published: (2024)

Manifold Metric: A Loss Landscape Approach for Predicting Model Performance
by: Malviya, Pranshu, et al.
Published: (2024)

Neural Coherence : Find higher performance to out-of-distribution tasks from few samples
by: Guiroy, Simon, et al.
Published: (2025)

Intelligent Switching for Reset-Free RL
by: Patil, Darshan, et al.
Published: (2024)

Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
by: Huang, Jerry, et al.
Published: (2024)

Lookbehind-SAM: k steps back, 1 step forward
by: Mordido, Gonçalo, et al.
Published: (2023)

Toward Debugging Deep Reinforcement Learning Programs with RLExplorer
by: Bouchoucha, Rached, et al.
Published: (2024)

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
by: Nilaksh, et al.
Published: (2026)

PhysGym: Benchmarking LLMs in Interactive Physics Discovery with Controlled Priors
by: Chen, Yimeng, et al.
Published: (2025)

Effect of Document Packing on the Latent Multi-Hop Reasoning Capabilities of Large Language Models
by: Prato, Gabriele, et al.
Published: (2025)

FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
by: Mallappa, Uday, et al.
Published: (2024)

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
by: Rafailov, Rafael, et al.
Published: (2024)

Composable Crystals: Controllable Materials Discovery via Concept Learning
by: Liu, Nian, et al.
Published: (2026)

SeekerGym: A Benchmark for Reliable Information Seeking
by: Kim, Remy, et al.
Published: (2026)

CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design
by: Govindarajan, Prashant, et al.
Published: (2025)

AExGym: Benchmarks and Environments for Adaptive Experimentation
by: Wang, Jimmy, et al.
Published: (2024)

NovoMolGen: Rethinking Molecular Language Model Pretraining
by: Chitsaz, Kamran, et al.
Published: (2025)

Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing
by: Hashemzadeh, Maryam, et al.
Published: (2026)

Why Don't Prompt-Based Fairness Metrics Correlate?
by: Zayed, Abdelrahman, et al.
Published: (2024)

Should We Attend More or Less? Modulating Attention for Fairness
by: Zayed, Abdelrahman, et al.
Published: (2023)