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Cartpole: Building reinforcement learning environments. It is listed under Development & Code on AI Registry as a paid tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Cartpole. This is an automatic list. We have not written a researched verdict for Cartpole yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Reinforcement Learning (RL) for AI Agents
Osmosis is a post-training platform that helps companies fine-tune language models using reinforcement learning. We work with fast-growing AI companies to train task/domain-specific models that beat foundation models on performance, cost, and latency. Our platform handles compute orchestration, reward modeling, and tra...
Context layer for production-grade AI agents
Airbyte Agents is the context layer your AI agents query before they act. Features the Context Store, which unifies entities across Salesforce, Stripe, Zendesk and more. Use it from the UI, your LLM via MCP, or our SDK. 40% fewer tool calls, up to 80% fewer tokens. Airbyte Data Replication is the leading open data move...
A search technology that actually finds what you’re looking for.
Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is. This enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come...
Voice AI to enable India's next billion
Bolna handles the complexity of voice infra, so enterprises can automate calls faster, better, and cheaper, at scale Bolna is a Voice AI Orchestration platform purpose-built for Indian enterprises. Businesses in India run tens of thousands of calls every day - across sales, support, collections, recruitment, and more. ...
The programming language for AI
Boundary is building BAML -- a programming language to build AI agents. We used to code in assembly, and moved on to C. From C, we moved on to higher level languages like Python. Now we are going from Python to natural language. What does the code look like when 50% of the business decisions is decided by an AI agent /...