Overview
This is a repackaged open-source software product wherein additional charges apply for support. Safety Gym on Ubuntu 24.04 is a research-oriented toolkit for studying safety in reinforcement learning. It provides simulated environments in which reinforcement learning agents can perform tasks while operating under safety constraints. The toolkit is designed to help researchers, developers, and AI practitioners investigate how autonomous agents can achieve objectives while reducing unsafe behavior and respecting defined constraints.
Safety Gym supports experimentation with reinforcement learning algorithms by providing environments involving goals, obstacles, hazards, and safety-related conditions. It can be used to evaluate agent behavior, compare approaches, and study the trade-offs between reward optimization and safety. The environment is suitable for research and experimentation in reinforcement learning, robotics, autonomous systems, simulation, and AI safety. Deployment on Ubuntu 24.04 provides a ready-to-use environment for developing, testing, and evaluating reinforcement learning workflows in cloud and research environments.
Key features and benefits: safety-focused reinforcement learning environments; simulated agent interaction with obstacles and constraints; support for research and algorithm experimentation; evaluation of performance and safety behavior; customizable reinforcement learning workflows; and suitability for robotics, autonomous systems, and AI safety research. kCloudHubs provides maintenance support for the Safety Gym environment on Ubuntu 24.04, including installation assistance, configuration guidance, troubleshooting, environment maintenance, and operational support. Keywords: Safety Gym, Ubuntu 24.04, reinforcement learning, safe reinforcement learning, AI safety, machine learning, robotics, autonomous systems, simulation, AI research, reinforcement learning environments, kCloudHubs.
Highlights
- Focuses on safe reinforcement learning, not just performance.
- Built on physics engines for realistic interactions.
- Helps test how agents avoid risks while achieving goals.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
t3.medium | $0.10 |
t2.2xlarge | $0.10 |
t2.medium | $0.10 |
t3.nano | $0.10 |
r3.large | $0.10 |
r4.large | $0.10 |
t3.large | $0.10 |
Vendor refund policy
No Refund
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of March 2026.
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt/safety #source venv/bin/activate #pip show safety-gymnasium
Support
Vendor support
"Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com "
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.