An elegant PyTorch deep reinforcement learning library.
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Updated
Aug 17, 2024 - Python
An elegant PyTorch deep reinforcement learning library.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
Repository for codes of 'Deep Reinforcement Learning'
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
Deep Reinforcement Learning (DRL) agents applied to medical images
Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper
Ape-X DQN & DDPG with pytorch & tensorboard
This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.
Deep reinforcement learning to perform shape optimization
A gallery for reinforcement learning, including frameworks, tutorials, papers, implementations, applications, etc.
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
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