tongjingqi/Awesome-Agent-RL
A curated list of awesome resources about reward construction for AI agents. This repository covers cutting-edge research, and practical guides on defining and collecting rewards to build more intelligent and aligned AI agents.
This resource provides a curated collection of materials for anyone designing and implementing AI agents that need to learn from experience. It offers insights and practical guides on how to define and collect the 'reward' signals that guide an AI agent's learning process. AI researchers and engineers working on building more intelligent and adaptable AI agents, especially for new project-based scenarios, would find this useful.
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Use this if you are developing AI agents and need to understand the latest techniques for designing effective reward functions that help agents learn desired behaviors in interactive environments.
Not ideal if you are a general AI user looking for ready-to-use AI agents or a developer focused on foundational model architectures rather than agent learning mechanisms.
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Sep 01, 2025
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