Python · Reinforcement learning

Builds a Verifiers (PrimeIntellect) variant of an RL environment.

adithya-s-k/FineEnvs

Builds a NeMo Gym (NVIDIA) variant of an RL environment. An agent skill from adithya-s-k/FineEnvs.

adithya-s-k/FineEnvs

Walks through aligning language models with SimPO, a reference-free preference optimization method, using accelerate configs for Mistral 7B, Llama 3 8B and math-focused models.

Orchestra-Research/AI-Research-SKILLs

Builds an Open Reward Standard (ORS) variant of an RL environment using the official openreward Python package.

adithya-s-k/FineEnvs

Guides reinforcement-learning research with torchforge, Meta's PyTorch-native library that keeps RL algorithms apart from infrastructure, including GRPO math-reasoning runs.

Orchestra-Research/AI-Research-SKILLs

Trains LLMs with reinforcement learning using verl, from ByteDance's Seed team, with GRPO, PPO and other algorithms and swappable training and rollout backends.

Orchestra-Research/AI-Research-SKILLs

Reference for post-training language models with TRL: which trainer and dataset format to use for SFT, DPO, GRPO, KTO and reward models, and how to add LoRA.

huggingface/skills

Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review.

K-Dense-AI/scientific-agent-skills