Reinforcement learning

Applies the reasoning of Pieter Abbeel, robotics and reinforcement learning expert, UC Berkeley professor, and co-founder of Covariant.

K-Dense-AI/mimeo

Reach for this skill whenever you are discussing reinforcement learning, agentic AI systems, AI alignment, continual learning, or the philosophical limits of large language models.

K-Dense-AI/mimeo

Applies the reasoning of Stuart Russell, AI safety expert, UC Berkeley professor, and co-author of 'Artificial Intelligence: A Modern Approach'.

K-Dense-AI/mimeo

Reference for the GRPO (Group Relative Policy Optimization) algorithm.

benchflow-ai/skillsbench

Diagnostic guide for RL-based post-training of language models (GRPO, PPO, REINFORCE, DPO).

benchflow-ai/skillsbench

Build practice environments and evaluation gyms where agents can try, fail, and learn from feedback.

LearnPrompt/andrej-karpathy-skills

Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets.

NVIDIA/skills

Generates A/B test plans and optimization checklists for your App Store product page — icon, screenshots, and app previews.

gustavscirulis/snapgrid

A skill your agent uses when implementing staking contracts, reward distribution systems, or yield farming.

ccashwell/evm-cortex

Reference for the TRL (Transformer Reinforcement Learning) library codebase.

benchflow-ai/skillsbench

Reinforcement learning fundamentals, algorithms, and research

wentorai/research-plugins

Vectorized multi-agent reinforcement learning simulator. An agent skill from wentorai/research-plugins.

wentorai/research-plugins

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning.

coco-research/coco

Your AI research and engineering brain trust. An agent skill from coco-research/coco.

coco-research/coco

Build and review OpenRLHF supervised/preference training plans for SFT, reward models, DPO, IPO, and cDPO.

VectorSpaceLab/AREX-Skill

Use TorchRL for TensorDict-first reinforcement-learning environments, collectors, replay buffers, modules, objectives, LLM/RLHF/VLA workflows, services, rendering, and maintainer-safe repository…

VectorSpaceLab/AREX-Skill

Generates an executable, end-to-end VERL reinforcement learning quickstart runbook for Ascend/NPU (docker image, dataset preprocessing, model setup, mainppo training, and examples/run.sh flow).

ascend-ai-coding/awesome-ascend-skills

A skill your agent uses when positioning an AAMAS submission against multiagent, game-theory, and reinforcement-learning literature spread across AAMAS, AAAI, IJCAI, NeurIPS, ICML, EC, and JAAMAS…

brycewang-stanford/Awesome-Journal-Skills