MLJejuCamp2017/DRL_based_SelfDrivingCarControl
quality grade F, 27 out of 100Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
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RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
663 results
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
A reinforcement learning environment for self-driving cars in the browser.
Reinforcement Learning for real-time applications
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Bayesian Reinforcement Learning in Tensorflow
Play Google Chrome's T-rex game with TensorFlow
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
Reinforcement learning with unsupervised auxiliary tasks
TensorFlow2 Reinforcement Learning
The SSBM "Phillip" AI.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Reversi reinforcement learning by AlphaGo Zero methods.
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
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