Dev tools · alternatives · 2026

24 alternatives to Quake 1 movement physics reinforcement learning project

Quake 1 movement physics reinforcement learning. Contribute to matthewearl/q1physrl development by creating an account on GitHub.

This project applies reinforcement learning to master movement physics in Quake 1, the classic 1996 first-person shooter. Researchers or game AI enthusiasts can use it to train machine learning models that learn… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Quake 1 movement physics reinforcement learning project launched in 2020; newer entries below may have overtaken it.

1
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 →
2
Shoggoth Mini – A soft tentacle robot powered by GPT-4o and RL▲610
Some early results and next steps in adapting DeepMind's Genie world model for creating the music player of my dreams.
2025 · matthieulc.com · its alternatives →
3
Quake ported to safe Rust, playable in browser▲241
Quake (1996), faithfully ported to dependency-free safe Rust and compiled to WebAssembly — play the shareware episode in your browser.
15d ago · quake-srp.pages.dev · its alternatives →
4
Explore Quake/Half-Life maps in your browser▲192
Explore Quake/GoldSrc maps in your browser. Contribute to sbuggay/bspview development by creating an account on GitHub.
2020 · github.com · its alternatives →
5
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 →
6
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 →
7
I built a game to help you learn neural network architectures▲321
2024 · graphgame.sabrina.dev · its alternatives →
8
I taught AI to commentate Pong in real time▲207
LLM-generated real-time commentary for Pong. Contribute to pncnmnp/xpong development by creating an account on GitHub.
2025 · github.com · its alternatives →
9
AI Playground by Vercel Labs▲249
Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai · its alternatives →
10BP
Beating Pokemon Red with RL and <10M Parameters▲183
Hi everyone! After spending hundreds of hours, we're excited to finally share our progress in developing a reinforcement learning system to beat Pokémon Red. Our system successfully completes the game using a policy under 10M parameters, PPO, and a few novel techniques. With the release of Claude Plays Pokémon, now feels like the perfect time to showcase our work. We'd love to get feedback!
2025 · drubinstein.github.io · its alternatives →
11
Shoot the neural network before it shoots you▲146
Play BangBang against a Neural Network. Contribute to victorqribeiro/bangBang development by creating an account on GitHub.
2022 · github.com · its alternatives →
12
LlamaGym – fine-tune LLM agents with online reinforcement learning▲239
Fine-tune LLM agents with online reinforcement learning - KhoomeiK/LlamaGym
2024 · github.com · its alternatives →
13
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 →
14PG
Play Go Against a Deep Neural Network▲77
Christopher Clark Homepage
2015 · chrisc36.github.io · its alternatives →
15
Predibase Reinforcement Fine-Tuning▲175
LLM reinforcement fine-tuning platform to improve LLM output
2025 · rubrik.com · its alternatives →
16
Web Quake▲81
The original Quake in your browser
2015 · its alternatives →
17
Reflex▲62
A fast-paced Quake-esque competitive arena shooter
2015 · store.steampowered.com · its alternatives →
18
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 →
19
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 →
20
OpenAI Gym▲147
Open source interface to reinforcement learning tasks
2016 · its alternatives →
21
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 →
22
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 →
23
Aim and Shoot – A game where your opponents are neural networks▲118
A neuroevolution game experiment. Contribute to victorqribeiro/aimAndShoot development by creating an account on GitHub.
2019 · github.com · its alternatives →
24
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 →

Also compare

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 →