Cover Image

SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klu, Emmanuel, Sethi, Sameer, Passey, DJ, Martin Jr, Donald
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models
by: Klu, Emmanuel, et al.
Published: (2023)

SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society
by: Sethi, Sameer, et al.
Published: (2025)

Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
by: Yang, Xue, et al.
Published: (2025)

Environment Inference for Learning Generalizable Dynamical System
by: Liu, Shixuan, et al.
Published: (2025)

Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
by: Kaya, Ege C., et al.
Published: (2026)

Causal Reinforcement Learning for Optimisation of Robot Dynamics in Unknown Environments
by: Dcruz, Julian Gerald, et al.
Published: (2024)

Code as Reward: Empowering Reinforcement Learning with VLMs
by: Venuto, David, et al.
Published: (2024)

Loop Polarity Analysis to Avoid Underspecification in Deep Learning
by: Martin, Jr., Donald, et al.
Published: (2023)

Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?
by: Markgraf, Hannah, et al.
Published: (2025)

Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment
by: Boruch-Gruszecki, Aleksander, et al.
Published: (2025)

Neural Ordinary Differential Equations for Modeling Socio-Economic Dynamics
by: Samota, Sandeep Kumar, et al.
Published: (2026)

Reinforcement Learning Based Escape Route Generation in Low Visibility Environments
by: Srikanth, Hari
Published: (2024)

Discovering Minimal Reinforcement Learning Environments
by: Liesen, Jarek, et al.
Published: (2024)

Synthetic Monitoring Environments for Reinforcement Learning
by: Pleiss, Leonard, et al.
Published: (2026)

Federated Reinforcement Learning in Heterogeneous Environments
by: Hwang, Ukjo, et al.
Published: (2025)

Sequential Compression Layers for Efficient Federated Learning in Foundational Models
by: Mahla, Navyansh, et al.
Published: (2024)

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
by: Carta, Thomas, et al.
Published: (2023)

Development and Validation of a Machine Learning Algorithm for Clinical Wellness Visit Classification in Cats and Dogs
by: Szlosek, Donald, et al.
Published: (2024)

Learning Causal Dynamics Models in Object-Oriented Environments
by: Yu, Zhongwei, et al.
Published: (2024)

Generalization Bounds for Dependent Data using Online-to-Batch Conversion
by: Chatterjee, Sagnik, et al.
Published: (2024)

ShifaMind: A Multiplicative Concept Bottleneck for Interpretable ICD-10 Coding
by: Syed, Mohammed Sameer, et al.
Published: (2026)

Performative Reinforcement Learning in Gradually Shifting Environments
by: Rank, Ben, et al.
Published: (2024)

AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
by: Junior, Francisco Erivaldo Fernandes, et al.
Published: (2024)

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)

On Distributional Reinforcement Learning in Chaotic Dynamical Systems
by: Rudd-Jones, James, et al.
Published: (2026)

A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
by: Tirichine, Mohammed, et al.
Published: (2024)

Causal Process Models: Reframing Dynamic Causal Graph Discovery as a Reinforcement Learning Problem
by: Orujlu, Turan, et al.
Published: (2025)

Low-Resource Video Super-Resolution using Memory, Wavelets, and Deformable Convolutions
by: Viswanathan, Kavitha, et al.
Published: (2025)

SubstratumGraphEnv: Reinforcement Learning Environment (RLE) for Modeling System Attack Paths
by: Adewunmi, Bahirah, et al.
Published: (2026)

Safe Continual Reinforcement Learning in Non-stationary Environments
by: Coursey, Austin, et al.
Published: (2026)

On Generalization Across Environments In Multi-Objective Reinforcement Learning
by: Teoh, Jayden, et al.
Published: (2025)

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
by: Wei, Ran, et al.
Published: (2023)

Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments
by: Li, Pochun, et al.
Published: (2024)

Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
by: Liu, Yi, et al.
Published: (2023)

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
by: Poudel, Bibek, et al.
Published: (2025)

Reinforcement Learning in Non-Markovian Environments
by: Chandak, Siddharth, et al.
Published: (2022)

Environment Design for Inverse Reinforcement Learning
by: Buening, Thomas Kleine, et al.
Published: (2022)

Reinforcement Learning for Machine Learning Model Deployment: Evaluating Multi-Armed Bandits in ML Ops Environments
by: McClendon, S. Aaron, et al.
Published: (2025)

Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
by: He, Xiaoyi, et al.
Published: (2025)

Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
by: de Oliveira, Bryan L. M., et al.
Published: (2025)