Trax — Deep Learning with Clear Code and Speed
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Updated
May 16, 2024 - Python
Trax — Deep Learning with Clear Code and Speed
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
⛰ Reinforcement learning model trying to make car reach to top of mountain
A PyTorch-based framework to conduct deep reinforcement learning research in multiple autonomous vehicle simulators
Mastering Diverse Domains through World Models
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
A Rust version of RLGym for RocketSim.
autoupdate paper list
Reinforcement learning environments for drug discovery
MuJoCo fruit fly body model and reinforcement learning tasks
Deep Reinforcement Learning environments for Swarm privacy research in JAX.
deeprecsys is a python package that simulates a Reinforcement Learning environment, using realistic Recommender System data. It includes a set of tools and agents.
Balacio-Kit: Robot de autobalanceo de ultra bajo costo, capaz de correr una red neuronal para mantener el equibrio y de ser controlado remotamente de manera inalámbrica
GenReL-World is a general Reinforcement Learning framework to utilize various world models as environments for robot manipulation
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Simple Implementation of the Monte Carlo Tree Search Algorithm
Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine
The BirdsEye RL/RF project enables localization of mobile radio frequency targets, e.g., drones operators, via commericial off-the-shelf sensors.
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