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Aerial Gym Simulator - Isaac Gym Simulator for Aerial Robots
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Establishing Quantified Uncertainty in Neural Networks
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
The Core Reinforcement Learning library is intended to enable scalable deep reinforcement learning experimentation in a manner extensible to new simulations and new ways for the learning agents to …
Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine
MAGNet: Multi-agents control using Graph Neural Networks
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Multi-Agent Reinforcement Learning of Crowd Simulation in GPU (PyTorch)
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
FinRL: Financial Reinforcement Learning. 🔥
[CoRL 2021] A robotics benchmark for cross-embodiment imitation.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Reinforcement learning with A* and a deep heuristic
This is the code for "Unity AI" by Siraj Raval on Youtube
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Nonlinear adaptive controller for a two-link arm