jetson-reinforcement

Reinforcement learning library

Provides tools and libraries for training intelligent agents to perform complex tasks in robotics using deep reinforcement learning and GPU acceleration.

Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

GitHub

891 stars
62 watching
225 forks
Language: C++
last commit: over 4 years ago

Related projects:

RepositoryDescriptionStars
dusty-nv/ros_deep_learningA set of ROS/ROS2 nodes for deep learning inference on NVIDIA devices907
google-deepmind/spriteworldAn environment designed to test and train reinforcement learning algorithms in a flexible, procedurally generated 2D space with various objects and interactions.369
hubfire/muti-branch-ddpg-carlaAn implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments.81
jhu-lcsr/good_robotResearch on repurposing reinforcement learning for transfer between tasks in robotics and multi-step visual tasks with simulation-to-real transfer108
nicrusso7/rex-gymTraining an open-source quadruped robot to perform domestic and generic tasks using reinforcement learning and OpenAI Gym.998
resibots/chatzilygeroudis_2018_rteResearch on an algorithm to learn how robots recover from damage in simulations and real-world environments10
iffix/machinAn open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms.402
coreylowman/dfdxA deep learning library for Rust with GPU acceleration and ergonomic API.1,754
toni-sm/skrlA modular reinforcement learning library with support for various environments and frameworks588
nathanepstein/pavlov.jsReinforcement learning using Markov Decision Processes in C++ compiled to JavaScript500
luchris429/purejaxrlA high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality755
nadavbh12/retro-learning-environmentA framework for training AI algorithms using game consoles as input185
matyama/deep-rl-hands-onA collection of examples and exercises from a deep reinforcement learning book2
tristandeleu/pytorch-maml-rlReplication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks830
alex-petrenko/sample-factoryA high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients.839