AI · alternatives · 2026

24 alternatives to I RL-trained an agent that trains models with RL (for ~$1.3k)

RL-training an AI agent to RL-train AI agents. Contribute to Danau5tin/ai-trains-ai development by creating an account on GitHub.

This project demonstrates reinforcement learning applied to model training itself. The creator used RL techniques to train an agent capable of training machine learning models through reinforcement learning, completing… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Terminal-Bench-RL: Training long-horizon terminal agents with RL▲125
After training calculator agent via RL, I really wanted to go bigger! So I built RL infrastructure for training long-horizon terminal/coding agents that scales from 2x A100s to 32x H100s (~$1M worth of compute!) Without any training, my 32B agent hit #19 on Terminal-Bench leaderboard, beating Stanford's Terminus-Qwen3-235B-A22! With training... well, too expensive, but I bet the results would be good! *What I did*: - Created a Claude Code-inspired agent (system msg + tools) - Built Docker-isolated GRPO training where each rollout gets its own container - Developed a multi-agent…
2025 · github.com · its alternatives →
2
ART – a new open-source RL framework for training agents▲116
Hey HN, I wanted to share a new project we've been working on for the last couple of months called ART (https://github.com/OpenPipe/ART). ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified. There are many excellent projects focused on training LLMs with RL, such as GRPOTrainer (https://huggingface.co/docs/trl/main/en/grpo_trainer) and verl…
2025 · github.com · its alternatives →
3
Fast Deep Reinforcement Learning Course▲148
I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…
2022 · courses.dibya.online · its alternatives →
4
I built a tiny LLM to demystify how language models work▲915
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Apr 2026 · github.com · its alternatives →
5
Supercharging RL with Hyper-Efficient Online Opt, +165% in 2h, $10▲32
Arc enables continual learning for agents to adapt, learn, and transfer knowledge in live environments. Open-source SDK for building agents that learn from experience and improve over time.
2025 · arc.computer · its alternatives →
6AQ
AI QLearning Robot Simulation in JavaScript and WebGL▲42
2015 · qlearning.4ck5.com · its alternatives →
7
Monostate AItraining▲59
Fine-tuning, RL, and inference in one CLI
Dec 2025 · github.com · its alternatives →
8
Next-Gen AI Training: LLM-RLHF-Tuning with PPO and DPO▲30
Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Transformer 5 models including Qwen 3.0 - raghavc/LLM-RLHF-Tuning-with-PPO-and-DP
2024 · github.com · its alternatives →
9RA
RL Agent that can auto-optimize your LLM prompts▲14
Hey everyone! Along with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time. Take a look here: https://nomadic-ml.github.io/nomadic/cookbooks/Nomadic_Promp... Check out our website too:https://www.nomadicml.com/ In terms of how this visualization works: The RL Prompt Optimizer employs a reinforcement learning framework to iteratively improve prompts used for language model evaluations. At each episode, the…
2024 · nomadic-ml.github.io · its alternatives →
10
Easily train AlphaZero-like agents on any environment you want▲87
Easily train AlphaZero-like agents on any environment you want! - s-casci/tinyzero
2023 · github.com · its alternatives →
11
OpenAI Gym▲147
Open source interface to reinforcement learning tasks
2016 · its alternatives →
12
NeuroBlock▲120
No-code AI Lab: Train models, access datasets, run inference
Feb 2026 · neuro-block.com · its alternatives →
13
Praex▲68
The coding agent that runs on its own AI models
4d ago · praex.ai · its alternatives →
14RE
RULER – Easily apply RL to any agent▲81
Hey HN, Kyle here, one of the co-founders of OpenPipe. Reinforcement learning is one of the best techniques for making agents more reliable, and has been widely adopted by frontier labs. However, adoption in the outside community has been slow because it's so hard to implement. One of the biggest challenges when adapting RL to a new task is the need for a task-specific "reward function" (way of measuring success). This is often difficult to define, and requires either high-quality labeled data and/or significant domain expertise to generate. RULER is a drop-in reward function that works…
2025 · openpipe.ai · its alternatives →
15
Trainer▲93
Train AI agents by recording your screen
May 2026 · myagentrainer.com · its alternatives →
16
NanoRL – RL training for LLMs in ~1,800 lines▲11
The smallest async RL trainer I could write: one loop that runs REINFORCE on CartPole on a laptop and async GRPO on a cluster (e.g. 8xH100 trainer, 8 vLLM workers, ran as a [SkyPilot job group](https://docs.skypilot.ai/en/latest/examples/job-groups.html) on k8s ). All without Ray or TRL or DeepSpeed etc., workers talk to the trainer over stdlib HTTP.
Aug 2026 · github.com · its alternatives →
17
Multi-GPU Reinforcement Learning in Tensorflow for OpenAI Gym▲58
Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym - vishar0/dist-dqn
2016 · github.com · its alternatives →
18
Self-taught neural network learns to shoot a target▲60
Watch a Neural Network learns to shoot a target. Contribute to victorqribeiro/bangBangML development by creating an account on GitHub.
2020 · github.com · its alternatives →
19
Llama-8B Teaches Itself Baby Steps to Deep Research Using RL▲39
I've been tinkering with getting Llama-8B to bootstrap its own research skills through self-play. The model generates questions about documents, searches for answers, and then learns from its own successes/failures through RL (hacked up Unsloth's GRPO code). Started with just 23% accuracy on Apollo 13 mission report questions and hit 53% after less than an hour of training. Everything runs locally using open-source models. It's cool to see the model go from completely botching search queries to iteratively researching to get the right answer.
2025 · github.com · its alternatives →
20
LeanRL: Fast PyTorch RL with Torch.compile and CUDA Graphs▲53
We're excited to announce that we've open-sourced LeanRL, a lightweight PyTorch reinforcement learning library that provides recipes for fast RL training using torch.compile and CUDA graphs. By leveraging these tools, we've achieved significant speed-ups compared to the original CleanRL implementations - up to 6x faster! Reinforcement learning is notoriously CPU-bound due to the high frequency of small CPU operations. PyTorch's powerful compiler can help alleviate these issues, but comes with its own costs. LeanRL addresses this challenge by providing simple recipes to accelerate your…
2024 · github.com · its alternatives →
21
RLSL – Reinforcement Learning for Skip Lists (DBs and AI)▲9
Reinforcement Learning for Skip Lists. Contribute to cioc/rlsl development by creating an account on GitHub.
2018 · github.com · its alternatives →
22TY
Train your own image generator (Stable Diffusion) for free▲35
I've had a blast playing with stable diffusion and I see all the potential it will bring to us. I released a service for training your model, just upload 20-30 images and you can have a model of someone or some object doing anything. You can train one model for free a month in a slower queue or you can train many models on a fast queue and with other features for a fee. Here is an example of using it for show product placement: https://app.88stacks.com/image/O6kReClOvrz7 and here is an example of using it for people:…
2022 · 88stacks.com · its alternatives →
23
A Platform for Many-Agent Reinforcement Learning▲18
A Platform for Many-Agent Reinforcement Learning. Contribute to geek-ai/MAgent development by creating an account on GitHub.
2017 · github.com · its alternatives →
24
Implementation of the "Self-Rewarding Language Models" Paper by MetaAI▲23
This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI. - Oxen-AI/Self-Rewarding-Language-Models
2024 · github.com · its alternatives →

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