378 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A Quantitative-research Platform | 74K | |
| TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextua... | 58K | |
| A python module designed for agile RL algorithm developing. | 37K | |
| Dopamine is a research framework for fast prototyping of reinforcement learning ... | 26K | |
| A grid-world game engine for game AI research | 16K | |
| Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments | 15K | |
| A custom environment for multi-agent reinforcement learning focused on WSN routi... | 11K | |
| TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextua... | 9K | |
| Library of deep learning models and datasets designed to make deep learning more... | 8K | |
| Flexible reinforcement learning models instantiators library | 8K | |
| RL implementations | 6K | |
| Puffing up reinforcement learning | 5K | |
| Lab Materials for MIT 6.S191: Introduction to Deep Learning | 5K | |
| OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Fram... | 5K | |
| A reinforcement learning framework | 4K | |
| 4K | ||
| VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent... | 4K | |
| Gym environments and agents for autonomous driving. | 4K | |
| Real Environment Developed by Stanford University | 3K | |
| An application based on Python and designed as a solution for geology related da... | 3K | |
| Learning algorithms for production language model programs | 3K | |
| DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gy... | 3K | |
| Fiddle Options Platform | 3K | |
| A modular high-level library to train embodied AI agents across a variety of tas... | 3K | |
| Learning environments for solving math problems step-by-step | 3K | |
| Sokoban environment for OpenAI Gym | 2K | |
| Autonomous driving simulations development | 2K | |
| The NetHack Learning Environment | 2K | |
| Retro Games in Gym | 2K | |
| Python Gym Environment for the popular Risk game | 2K | |
| A simple and efficient Minecraft Agent development kit for AI research. | 2K | |
| Perceptual Control Theory with Python | 2K | |
| High-quality single file implementation of Deep Reinforcement Learning algorithm... | 2K | |
| A2RL is a Python library for offline reinforcement learning | 1K | |
| Benchmarks for Lifelong In-Context Learning | 1K | |
| A OpenAI Gym Env for the event LaRoboLiga | 1K | |
| Deep Reinforcement Learning | 1K | |
| Agent Based Modeling and Reinforcement Learning | 1K | |
| Rofunc: The Full Process Python Package for Robot Learning from Demonstration an... | 1K | |
| ChatBots supporting TensorFlow | 1K | |
| Robotics Simulator written in Rust | 1K | |
| Control section: Deep Reinforcement Learning framework | 987 | |
| 984 | ||
| A gym environment for the Schieber variant of the Swiss card game Jassen | 970 | |
| Reinforcement learning environments for compiler and program optimization tasks | 967 | |
| Factorio Learning Environment | 917 | |
| unified reinforcement learning framework | 895 | |
| Examples of agents for neodroid environments 💡 | 864 | |
| A flexible harmonic oscillator environment for OpenAI Gym | 850 | |
| Scenic 3-based open-ended evaluation for robotic manipulation — infinite, statis... | 840 |