reinforcement learning instructions

NVIDIA-NeMo/Gym

Instructions file CodexOpenCode

Instructions for NVIDIA-NeMo/Gym, covering agents.md, quality bar, what this is, architecture and creating environments.

NVIDIA-NeMo/Gym

Instructions file

Instructions for NVIDIA-NeMo/Gym, a project described as: Evaluate and improve models and agents using environments.

Tencent-Hunyuan/UniRL

Instructions file CodexOpenCode

AGENTS.md instructions for Tencent-Hunyuan/UniRL, a project described as: UniRL is a Framework for Unified Multimodal Model Reinforcement Learning.

Tencent-Hunyuan/UniRL

Instructions file

Claude Code instructions for Tencent-Hunyuan/UniRL, covering claude.md, 1. think before coding, 2. simplicity first, 3. surgical changes and 4. goal-driven execution.

Purewhiter/mobilegym

Instructions file CodexOpenCode

Instructions for Purewhiter/mobilegym, covering agents.md, project overview, type-checking strategy, eslint and with data graph generation.

Purewhiter/mobilegym

Instructions file

Instructions for Purewhiter/mobilegym, a project described as:

utilForever/RosettaStone

Instructions file CodexOpenCode

AGENTS.md instructions for utilForever/RosettaStone, covering agents.md, what this repository is, golden rules (read before any change), common task flow and hearthstone model.

ttktjmt/mjswan

Instructions file CodexOpenCode

AGENTS.md instructions for ttktjmt/mjswan, covering agents.md, project, philosophy, layout and python workflow.

MontrealAI/AGI-Alpha-Agent-v0

Instructions file CodexOpenCode

META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡.

utilForever/baba-is-auto

Instructions file CodexOpenCode

Instructions for utilForever/baba-is-auto, covering agents.md, what this repository is, golden rules (read before any change), the most common task: changing simulator behavior and repository map.

0bserver07/Study-Reinforcement-Learning

Instructions file CodexOpenCode

AGENTS.md instructions for 0bserver07/Study-Reinforcement-Learning, covering agents.md, what this repo is, layout, review status and voice.

0bserver07/Study-Reinforcement-Learning

Instructions file

Claude Code instructions for 0bserver07/Study-Reinforcement-Learning: Read AGENTS.md. Everything in it applies to Claude Code working in this repo.

omnilink-tech/omnisim

Instructions file CodexOpenCode

Instructions for omnilink-tech/omnisim, covering agents.md — running omnisim as an ai coding agent, 0. for agents: read this first (60 seconds), run this first turn, first moves by task type and hard-won rules (don't relearn these).

omnilink-tech/omnisim

Instructions file

Instructions for omnilink-tech/omnisim, a project described as: Open-source robotics simulator for coding agents: HTTP/JSON + MCP control, Newton physics, wgpu rendering, ROS 2, and reproducible benchmarks.

s1ddh-rth/HumanoidClimb-RL

Instructions file

Instructions for s1ddh-rth/HumanoidClimb-RL, covering claude.md, environment setup, common commands, architecture and data flow.

Oshawott324/datalox-gated-runtime

Instructions file CodexOpenCode

AGENTS.md instructions for Oshawott324/datalox-gated-runtime, covering agent instructions, product boundary, provider behavior, runtime safety and public data boundary.