Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
653 results
Train your Agent model via our easy and efficient framework
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
A live stream development of RL tunning for LLM agents
A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.
Maze Applied Reinforcement Learning Framework
[ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF / MAPF settings.
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Benchmarking the Spectrum of Agent Capabilities
Modularized Implementation of Deep RL Algorithms in PyTorch
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
High throughput synchronous and asynchronous reinforcement learning
UI-Venus is a native UI agent designed to perform precise GUI element grounding and effective navigation using only screenshots as input.
Grokking Deep Reinforcement Learning
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Code implementation of "Learning Efficient Online 3D Bin Packing on Packing Configuration Trees". We propose to enhance the practical applicability of online 3D Bin Packing Problem (BPP) via learning on a hierarchical packing configuration tree which makes the deep reinforcement learning (DRL) model easy to deal with practical constraints and well-performing even with continuous solution space.
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Implementations of selected inverse reinforcement learning algorithms.
Really Fast End-to-End Jax RL Implementations
JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
24,523 repositories in the index in total.
