Statistics for topic deep-reinforcement-learning
RepositoryStats tracks 654,787 Github repositories, of these 393 are tagged with the deep-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (275). Other languages include: Jupyter Notebook (65), C++ (11)
Stargazers over time for topic deep-reinforcement-learning
Most starred repositories for topic deep-reinforcement-learning (view more)
Trending repositories for topic deep-reinforcement-learning (view more)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
A V2G Simulation Environment for large scale EV charging optimization
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
[TNNLS] Imitative Expert Prior-Guided Reinforcement Learning for Autonomous Driving
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This...
A V2G Simulation Environment for large scale EV charging optimization
强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
The Unreal ML Agents Toolkit is an open-source project that enables Unreal Engine games and simulations to serve as environments for training intelligent agents using deep reinforcement learning. This...
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
Deep reinforcement learning without experience replay, target networks, or batch updates.
PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research papers.
Official implementation of GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"
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)
A V2G Simulation Environment for large scale EV charging optimization
Implementing obstacle avoidance and path planning for the Pioneer 3-DX robot using Python, PyTorch, and the deep reinforcement learning algorithm REINFORCE in the Webots Simulator.
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goa...
