servers/ ai-agents/ agentic-rl-credit-assignment-and-cli-agents
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Agentic RL: Credit Assignment and CLI Agents

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Filter agent RL methods by supervision, critic and task setting; retrieve source links and BibTeX.

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Overview Installation

Overview

Agentic RL: Credit Assignment and CLI Agents is an MCP server that helps you filter and explore reinforcement learning methods for agents. You can search by supervision type, critic approach, and task setting, then retrieve source links and BibTeX citations for the papers and implementations you find.

It runs as a hosted remote service at https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/ with no authentication required and nothing to install locally. The latest release is v1.1.0. Visit the vendor page at https://huggingface.co/spaces/Hoyant-Su/Agentic-RL for more details.

Agentic RL: Credit Assignment and CLI Agents is listed in the AI & Agents category and works with any MCP client including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed. If you maintain this server, claim your listing to earn the Verified badge and keep information up to date.

▸Hosted endpoint — Streamable HTTP · https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/

Installation

Settings → Connectors → Add custom connector
Name: Agentic RL: Credit Assignment and CLI Agents
URL:  https://hoyant-su-agentic-rl.hf.space/gradio_api/mcp/

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