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awesome-rl-for-agents

github.com/necolizer/awesome-rl-for-agents ↗

A curated list of reinforcement learning (RL) for agents.

97

GitHub Stars

111

Curated Resources

6

Categories

3 hours ago

Last Refreshed

📚 Papers & Research🕹 Benchmarks🧪 Demos & Projects🧰 Toolkits & Frameworks📄 Tutorials & Blog Posts🔗 Related Awesome Lists

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me computer use resources from awesome-rl-for-agents"

Installation instructions →

What's inside

🕹 Benchmarks

[ACL'24]Computer Use
[Blog]Deep research
[Code]CLI
[ICLR'26]Deep research
[NeurIPS'24]Computer Use
[Paper]Computer Use

📄 Tutorials & Blog Posts

📚 Papers & Research

[Blog]RL for Research Agents
[Blog]Reinforcement Learning Scaling
[Blog]RL for Research Agents
[Blog]Reinforcement Learning Scaling
[Blog]RL for Research Agents
[Code]Others

🧪 Demos & Projects

[Blog]RL-based LLM agent tuning
[Code]MCP Agents
[Code]RL-based LLM agent tuning
[Code]MCP Agents
[Code]RL-based LLM tuning
[Code]RL-based LLM agent tuning

🧰 Toolkits & Frameworks

🔗 Related Awesome Lists

[List]
covering rl and agents before 2023
[List]
covering RL for research agents
[List]
covering Agentic RL papers in agentic search systems
[List]
covering agent memory papers
[List]
covering Agentic RL papers in both agentic capabilities and applications
[List]
covering search agent papers

Showing a sample of 111 resources. View the full list on GitHub →