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.
Agentic RL 零基础中文教程：24 章从概念到 GRPO 实战，含 TRL 最小可跑示例 | Beginner-friendly Agentic RL tutorial with hands-on GRPO project
Official Code for AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration — Learning from Cheap, Optimizing Expensive
Self-Mutating Agent Gym
End-to-end training pipeline for mobile game UA tool-calling agents, covering rule-based synthetic data generation across 7 workflows, OpenAI Messages conversion, Qwen3 LoRA SFT, GRPO/RLVR alignment, and benchmark evaluation.
Synthetic environments for training robust tool-use agents via trajectory synthesis
Turn any real software into a replayable RL environment for training AI agents — deterministic replay, verifiable rewards, TRL & verifiers adapters.
The Flight Simulator for Production AI Agents — Generate high-quality synthetic trajectories for training reliable SRE, DevOps, and infra agents.
14 Principles. 23 Real Corrections. A systematic methodology for training AI agents through correction loops.
Deep reinforcement learning project comparing DQN variants including baseline DQN, Double DQN, curriculum learning, and reward shaping.
Neurochemical behavior training for AI agents — PentaDrive model with 5 drives, 3 phases, MCP server, and structured training modules
AI schooling: experienced agents train newly hatched ones, then examine them cold to graduate them. The coop is the local RAPP neighborhood - several twins (human and AI), one world, no collisions. Pattern dedicated to the public domain.
Open-source benchmark for measuring whether AI agents improve across unseen missions, with validity audits, rotated mission packs, adapter tests, and traceable reports.
The Vercel for Agent Training - Train production-ready AI agents with 95% tool reliability
Run auditable multi-agent environments with real tools and verifiable outcomes in an open-source world simulation.
Klavis AI — hosted MCP servers for production AI agents
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