An elegant PyTorch deep reinforcement learning library.
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Updated
Jun 10, 2024 - Python
An elegant PyTorch deep reinforcement learning library.
OpenDILab Decision AI Engine
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Deep Reinforcement Learning (DRL) agents applied to medical images
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Repository for codes of 'Deep Reinforcement Learning'
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
Bonsai's Slate Developer Documentation
Solutions to the Deep RL Bootcamp labs
Deep reinforcement learning to perform shape optimization
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