Guides
Guides
Plain-English explainers on reinforcement learning environments, how frontier labs use them, and how the market is being shaped.
May 22, 2026
How to Choose an RL Environment Vendor
A buyer's framework for picking an RL environment vendor — what to ask, what to ignore, and how to match a vendor's strengths to the kind of agent you're actually trying to train.
Read guide →May 22, 2026
RL Environments for Coding Agents
Coding is the most commercially active RL environment domain. Here's how code environments work, what makes a good one, and the companies building them in 2026.
Read guide →May 22, 2026
RL Environments for Browser & Computer-Use Agents
Computer-use is where agents finally hit the real world: clicking buttons, filling forms, navigating apps. Here's how the environments work and who builds them.
Read guide →May 22, 2026
What Does an RL Environment Cost?
RL environment pricing is opaque and contract-driven, but the shape of the market is knowable. Here's the pricing model, the typical ranges, and what drives the bill.
Read guide →May 22, 2026
The RLHF Data Companies Landscape
RLHF data is the older, more mature sibling of RL environments — and most of the same companies sell both. Here's the landscape and who's doing what.
Read guide →May 22, 2026
How AI Labs Train Agents with RL Environments
A walk through the actual training loop frontier labs use to teach agents with RL environments — rollouts, rewards, verifiers, and the bottlenecks that shape the market.
Read guide →May 22, 2026
Reward Modeling and Verifiers, Explained
Verifiers are the unglamorous core of any RL environment — the layer that decides whether the agent actually succeeded. Here's how reward models and verifiers work, and why they matter more than the environment itself.
Read guide →May 21, 2026
Open-Source RL Environments: The Complete Guide
Most RL environments are sold under closed lab contracts. A handful aren't. Here's the open-source landscape — what's available, who maintains it, and how to actually use it.
Read guide →May 20, 2026
What Is an RL Environment? A 2026 Primer
A plain-English explanation of reinforcement learning environments — what they are, how AI labs use them, and why they've become critical to training AI agents in 2026.
Read guide →May 20, 2026
RL Environments vs. RLHF Data vs. Evals: What's the Difference?
RL environments, RLHF data, and evaluations are related but distinct. Here's what each one is, how they fit together, and which companies build which.
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