Life & fun · alternatives · 2026

24 alternatives to Easily train AlphaZero-like agents on any environment you want

Easily train AlphaZero-like agents on any environment you want! - s-casci/tinyzero

This software allows users to train reinforcement learning agents similar to AlphaZero across any custom environment. It's designed for developers and researchers interested in building game-playing AI or exploring… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Easily train AlphaZero-like agents on any environment you want launched in 2023; newer entries below may have overtaken it.

1AS
AlphaZero Science paper▲200
2018 · deepmind.com · its alternatives →
2
I RL-trained an agent that trains models with RL (for ~$1.3k)▲107
RL-training an AI agent to RL-train AI agents. Contribute to Danau5tin/ai-trains-ai development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
3
AI-town, run your own custom AI world SIM with JavaScript▲429
Hi HN community! We want to share AI-town, a deployable starter kit for building and customizing your own version of AI simulation - a virtual town where AI characters live, chat and socialize. Inspired by great work from the Stanford Generative Agent paper (https://arxiv.org/abs/2304.03442). A few features: - Includes a convex.dev backed server-side game engine that handles global state - Multiplayer ready. Deployment ready - 100% Typescript - Easily customizable. You can fork it, change character memories, add new sprites/tiles and you have a custom AI simulation…
2023 · github.com · its alternatives →
4
MiniMax M2.7▲378
Self-evolving AI model powering autonomous agents
Mar 2026 · agent.minimax.io · its alternatives →
5
Agent Builder by Thesys▲425
Build AI agents that respond with UI instead of text
Feb 2026 · thesys.dev · its alternatives →
6
A Implementation of Alpha Zero for Chess in MLX▲71
A chess engine implementation inspired by AlphaZero, using MLX for neural network computations and Monte Carlo Tree Search (MCTS) for move selection.
2025 · github.com · its alternatives →
7
Watch a neural net learn to play Snake▲205
In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU.
May 2026 · ppo.gradexp.xyz · its alternatives →
8
A competition for small neural networks that play strategy gamesfree▲116
A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.
Sep 2026 · tinybrains.dev · its alternatives →
9
Agent Arena▲348
Creator here. I built Agent Arena to answer a question that kept bugging me: when AI agents browse the web autonomously, how easily can they be manipulated by hidden instructions? How it works: 1. Send your AI agent to ref.jock.pl/modern-web (looks like a harmless web dev cheat sheet) 2. Ask it to summarize the page 3. Paste its response into the scorecard at wiz.jock.pl/experiments/agent-arena/ The page is loaded with 10 hidden prompt injection attacks -- HTML comments, white-on-white text, zero-width Unicode, data attributes, etc. Most agents fall for at least a few.…
Jun 2026 · arena42.ai · its alternatives →
10
Viberia▲146
Hey HN, This is my take on the agent harness. Everything on an isometric map. Agents are grouped into "buildings" that run in a sequence or a loop; e.g., the CodeForge has an agent that writes a PRD, another one that implements, and a third that reviews. Everything is customizable, you build your own buildings/teams however you want. It's a Tauri app, really light (about 8x less energy than the closest competitor I benchmarked, so it actually runs from a coffee shop on battery). It's macOS only for now, but ping me if you are willing to test the Windows or Linux version. I've been…
May 2026 · getviberia.com · its alternatives →
11
Noctie – A chess AI that predicts your rating▲134
I built over the last two years a human-like neural network chess engine that tries to predict your rating from a single game. It automatically adapts to your play and tries to play like a human at your level would play, giving you a balanced game. At the core I’m using an AlphaZero / Leela Chess Zero style neural network that I have trained on 1 billion human games from the lichess.org open database. Around this network I have built a chess engine in Rust with algorithms that use the outputs from the NN to produce human-like moves at a given rating from beginner to world champion, as…
2022 · noctie.ai · its alternatives →
12
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 →
13
NeuroBlock▲120
No-code AI Lab: Train models, access datasets, run inference
Feb 2026 · neuro-block.com · its alternatives →
14
Trainer▲93
Train AI agents by recording your screen
May 2026 · myagentrainer.com · its alternatives →
15AA
AI agents play SimCity through a REST API▲216
This is a weekend project that spiraled out of control. I was originally trying to get Claude to play a ROM of the SNES SimCity. I struggled with it and that led me to Micropolis (the open-sourced SimCity engine) and was able to get it to work by bolting on an API. The weekend hack turned into a headless city simulation platform where anyone can get an API key (no signup) and have their AI agent play mayor. The simulation runs the real Micropolis engine inside Cloudflare Durable Objects, one per city. Every city is public and browsable on the site. LLMs are awful at the spatial stuff, which…
Feb 2026 · hallucinatingsplines.com · its alternatives →
16
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 →
17
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 →
18
Recurrent neural net plays 'neural slime volleyball' in JavaScript▲147
2015 · otoro.net · its alternatives →
19
Iteratively Building Virtual Creatures in Minecraft▲49
"Creatures" is a stretch given that the environment is Minecraft, but the idea is simple: iteratively add blocks conditionally (tensor convolution) on the current environment (blocks) to maximize some reward. In this case I use PPO RL to train creatures to touch a glowstone block but you can adapt it to use any algorithm and reward (easily, as it uses the Ray framework). What I like about this work: iteratively finding solutions has a long and colorful history of doing things well: gradient boosting, ResNets, Stable Diffusion, etc. We're after some end optimal state and usually try to get…
2024 · github.com · its alternatives →
20
Miniloop▲80
Turn natural language into AI agents and automations
Feb 2026 · miniloop.ai · its alternatives →
21
Zuckerman – minimalist personal AI agent that self-edits its own code▲71
Hi HN, I'm building Zuckerman: a personal AI agent that starts ultra-minimal and can improve itself in real time by editing its own files (code + configuration). Agents can also share useful discoveries and improvements with each other. Repo: https://github.com/zuckermanai/zuckerman The motivation is to build something dead-simple and approachable, in contrast to projects like OpenClaw, which is extremely powerful but has grown complex: heavier setup, a large codebase, skill ecosystems, and ongoing security discussions. Zuckerman flips that: 1. Starts with almost nothing…
Feb 2026 · github.com · its alternatives →
22
Agent Swarm – Multi-agent self-learning teams (OSS)▲63
Your Company Agentic Operating System. Contribute to desplega-ai/agent-swarm development by creating an account on GitHub.
Feb 2026 · github.com · its alternatives →
23AQ
AI QLearning Robot Simulation in JavaScript and WebGL▲42
2015 · qlearning.4ck5.com · its alternatives →
24
Open-source implementation of Stanford's self-learning agent framework▲10
We implemented Stanford's Agentic Context Engineering paper which shows agents can improve their performance just by evolving their own context. How it works: Agents execute tasks, reflect on what worked/failed, and curate a "playbook" of strategies. All from execution feedback - no training data needed. Happy to answer questions about the implementation or the research!
2025 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →