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features
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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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Claude Code No 
DeepSeek No 
Google Cloud Platform No 
Qwen No 
Runpod No 
gpt-oss-120b No 

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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