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Safety Gym on Ubuntu 24.04 with maintenance support by kCloudHubs

kCloudHubs LLC · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownVirtual machine
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

<section>

<p>

Show the rest of the publisher’s description (28 more lines)

This is a repackaged open-source software product wherein additional charges apply for support.

<strong>Safety Gym on Ubuntu 24.04</strong> 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.

</p>

<p>

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.

</p>

<p>

<strong>Key features and benefits:</strong> 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.

<strong>kCloudHubs</strong> 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.

</p>

</section>

Highlights

Highlighted by the publisher on AWS Marketplace.

Focuses on safe reinforcement learning, not just performance.

Built on physics engines for realistic interactions.

Helps test how agents avoid risks while achieving goals.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Plans and pricing as listed

21 listed
m4.large
  • Hrs
$0.10
t2.micro
  • Hrs
$0.001
t3.micro
  • Hrs
$0.10
t3.medium
  • Hrs
$0.10
t2.2xlarge
  • Hrs
$0.10
t2.medium
  • Hrs
$0.10
t3.nano
  • Hrs
$0.10
r3.large
  • Hrs
$0.10
r4.large
  • Hrs
$0.10
t3.large
  • Hrs
$0.10
t2.large
  • Hrs
$0.10
t2.small
  • Hrs
$0.10
and 9 more plans on the listing

Refund terms

As stated by the publisher on AWS Marketplace.

No Refund

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
21 plans listed
Delivery
Virtual machine
"Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com"
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.