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Description

Deep reinforcement learning (DRL) merges the strengths of deep learning's perception capabilities with the sequential decision-making prowess of reinforcement learning. Learnable's DRL AI can autonomously generate extensive simulation data, which facilitates ongoing self-improvement and enhances predictive accuracy. Utilizing DRL technologies, Learnable has crafted three distinct AI models, each with unique functionalities. The Interactive AI model learns by engaging with human users, effectively creating a cognitive framework that interprets human intentions through limited interactions, thanks to its advanced understanding of various feedback types. Similarly, eXplainable AI (XAI) mimics the human brain by grasping the intricate logic behind events, actions, and rewards, enabling it to articulate the rationale behind its decisions, setting it apart from other AI systems. As a result, XAI offers transparency that enhances user trust and understanding in its decision-making processes.

Description

ReinforceNow serves as a comprehensive platform dedicated to ongoing learning through AI agents, designed to assist teams in deploying, training, and iterating efficiently. Developers are empowered to create AI agents that can be continuously trained using production traffic, or they can opt for Claude Code to configure the setup automatically. The platform manages vital components such as reinforcement learning infrastructure, experiment orchestration, agent versioning, GPU training logic, and telemetry, allowing teams to concentrate on refining agent logic, data collection, and reward systems. With support for rapid LLM fine-tuning using LoRA, high-throughput training capabilities, and extensive compatibility with open-source models including Qwen, DeepSeek, and GPT-OSS, ReinforceNow enhances developers' efficiency. It offers sophisticated telemetry features that help evaluate, monitor, and iterate on AI agent LLM applications, including detailed traces, reward systems, experiment metrics, and training visibility. Teams can tackle extended tasks that require context sizes ranging from 32k to 1 million, create specialized agents for multi-turn interactions and long-duration tasks, and access an array of tools to streamline their reinforcement learning workflows, ultimately fostering innovation in AI development.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Claude Code
DeepSeek
Google Cloud Platform
Qwen
RunPod
gpt-oss-120b

Integrations

Amazon Web Services (AWS)
Claude Code
DeepSeek
Google Cloud Platform
Qwen
RunPod
gpt-oss-120b

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Learnable.ai

Founded

2016

Country

United States

Website

learnable.ai/#/

Vendor Details

Company Name

ReinforceNow

Country

United States

Website

www.reinforcenow.ai/

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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