SimGym Studio

General decision/control simulation environment workshop

Product category: Simulation / Environment

Applicable platforms: Gym, PettingZoo, multi-agent

Technical affiliation: Simulation, Replay, Scenario

Programming language affiliation: Python

Tags: #Simulation #RLEnv Product

Type: Simulation / Environment

SimGym uses historical data + rules to generate interactive environments, supporting parameterized scenarios, random perturbations, extreme conditions, offline replay, and control experiments. For policy/decision projects, it can quickly build safe trial-and-error venues; for time series/multimodal projects, it can be used for stress testing model robustness (such as data delay, noise, gaps). It outputs environment interfaces, reward evaluations, and logs, supporting one-click linkage with PolicyWorks training and EvalLab evaluation. SimGym makes "lab safe trial-and-error" a standard process.

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included