Statistics for topic deep-reinforcement-learning
RepositoryStats tracks 531,420 Github repositories, of these 336 are tagged with the deep-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (235). Other languages include: Jupyter Notebook (51)
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A curated list of reinforcement learning with human feedback resources (continually updated)
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
Animal-AI supports interdisciplinary research to help better understand human, animal, and artificial cognition.
A V2G Simulation Environment for large scale EV charging optimization
A curated list of reinforcement learning with human feedback resources (continually updated)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
A V2G Simulation Environment for large scale EV charging optimization
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learnin...
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A V2G Simulation Environment for large scale EV charging optimization
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Reading list for adversarial perspective and robustness in deep reinforcement learning.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
Implementation of Robust Imitation Learning against Variations in Environment Dynamics
This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning Sy...
