Games to build.
Worlds to learn in.

Aligned text and embodied household worlds where agents can learn task plans in language before attempting corresponding visual interactions.

A Stella-based Atari 2600 interface that exposes observations, actions, game scores and episode endings to learning agents.

A browser space-shooter demo from OpenAI's single-prompt GPT-5 coding collection, with the generating prompt and published app files.

An evaluation harness for language and vision-language agents across existing interactive games, including text adventures and NetHack-based tasks.

A browser platform fighter with shared arenas, online matches and bots that fill empty player slots.

A collection of controlled interactive RL experiments designed to diagnose exploration, memory and other agent capabilities with standardized logging.

A browser-based 3D runner and shooting game in which players change lanes, jump obstacles and shoot targets as levels progress.

A JAX survival-and-crafting world that extends Crafter with roguelike mechanics; Craftax-Classic is a separate simpler mode in the same project.

A procedurally generated survival game for studying exploration, resource collection and crafting, with achievement-based agent evaluation.

A customizable first-person 3D game platform for visual navigation, memory and control tasks, built on the Quake III/ioquake3 engine lineage.

A C++/Lua engine for building layered two-dimensional grid worlds with multiple agents, text maps and programmable behavior.

A Doom-inspired browser game controlled by scrolling or swiping, with automatic firing, monsters, weapon upgrades and news-headline plaques.

A single-file browser maze game attributed by OpenAI to its AI-generated coding collection, with keyboard navigation, timing and shortest-path comparison.

A browser-based 3D wood-splitting toy built around scanned wood, an axe and a stump, with interactive splitting and a rotating view.

A futuristic browser racing game with hovercraft, boost and air-brake controls, time trials and selectable race modes.

A game-world generation benchmark with public prompts and Blender scene artifacts, accompanied by Code2Games code for scene analysis, asset placement and gameplay-world construction.

A benchmark for generating complete playable 2D Godot projects from specifications, evaluated through launch checks, replayed player inputs and multimodal rubric scoring.

An executable benchmark of scoped Godot development tasks involving gameplay logic, interfaces, graphics and animation, with starting projects and engine-level validation.

A configurable grid-world game engine using a YAML description language to define mechanics, observations and single- or multi-agent tasks.

A Video Game Description Language framework for evaluating planners and generating game levels or rules across multiple games.

A common interface and reference environments for single-agent reinforcement learning, continuing the maintenance lineage of OpenAI Gym.

A functional JAX environment library with implemented classic-control, diagnostic and small-game tasks, exposing explicit state, randomness and parameters.

A Python interface connecting agents to interactive-fiction games, with access to game state and controls for reproducible play.

A JAX suite of interactive logic games, packing, routing and other decision-making environments with configurable problem instances.

A browser-accessible reconstruction of a 1990s multiplayer text adventure, running preserved world scripts on a newly implemented engine.

A grid-world engine and reference scenarios for many interacting agents, including battle and pursuit settings exposed through PettingZoo APIs.

A multi-agent social-evaluation suite pairing interactive worlds with background agent populations to test generalization to unfamiliar partners.

A Minecraft research suite that combines survival, resource-gathering, creative and playthrough tasks with a separate knowledge collection.

A Python interface to Minecraft research tasks, with versioned environments and a separate collection of human demonstrations.

A configurable collection of small grid worlds for navigation, object manipulation and instruction following, including the BabyAI environments.

A NetHack-based sandbox for building compact game tasks, from navigation and object use to procedurally generated challenges.

A minimal 3D indoor world simulator for navigation and goal-directed learning, with configurable rooms, objects and visual observations.

A multi-objective multi-agent environment suite whose PettingZoo-style interfaces return reward vectors, including board games, cooperative physics tasks and resource-allocation simulations.

Particle-world environments for communication, cooperation and competition, continuing the MPE environments formerly distributed with PettingZoo.

A browser hover-car exploration game set in a dense neon city, with street-level driving, flight and time trials.

A Gymnasium interface to NetHack with procedurally generated dungeons, inventory management and long sequences of consequential actions.

A framework of game environments and algorithms for single-agent and multi-agent learning, search and planning with different information structures.

A multi-agent environment library with turn-by-turn Agent Environment Cycle and parallel-action APIs, covering cooperative and competitive games.

A suite of sixteen procedurally generated visual games designed to separate learning on familiar levels from generalization to unseen levels.

A community rewrite of Procgen with C++ game implementations and a CEnv interface for using compiled worlds from Python.

An RL execution framework with an Ocean collection of native game and simulation implementations, alongside environment integration and training infrastructure.

A browser real-time strategy demo combining base construction, unit control, abilities and collectible army upgrades.

A card-game environment toolkit exposing observations, legal actions and trajectories for reinforcement learning and search under imperfect information.

A text-based simulated world where agents manipulate objects and perform elementary science tasks such as heating, classification and electrical experiments.

A single-player browser arcade game in which a ship moves horizontally and shoots descending aliens.

A maintained Gym Retro fork connecting classic-game emulators to Gymnasium, with integrations defining rewards, state variables and episode endings.

A collection of competitive and cooperative text-based games with a shared string-observation/string-action interface for training and evaluating language-model agents.

A toolkit for generating and playing text adventures with controlled task difficulty, state tracking and rewards for learning agents.

A Three.js browser port of Quake, with the original game's shareware episode and a public source repository.

A Roman-themed browser tic-tac-toe artifact from OpenAI’s generated examples, with local two-player and computer-opponent modes.

An AI-generated browser typing game where falling words, rising difficulty, a score and an accuracy counter form the interaction.

A Unity SDK and Python interface that turn game and simulation scenes into interactive environments for reinforcement learning, imitation learning and multi-agent research.

A Pygame-generation dataset and evaluation toolkit with natural-language requirements, reference code and model-based scoring of generated code, screenshots and short gameplay recordings.

A household activity simulator that executes action programs, with a Unity visual environment and a separate evolving scene-graph backend.

A configurable first-person game environment exposing Doom-engine observations and controls for visual reinforcement learning and agent evaluation.

A JAX grid-world suite for meta-reinforcement learning where composable rules and goals change the dynamics an agent must discover.