Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
RL algorithms, environments, simulators and decision-making systems.
Signals: reinforcement-learning, deep-reinforcement-learning, rl, gymnasium, openai-gym, multi-agent-reinforcement-learning, imitation-learning
653 results
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
A curated list of reinforcement learning with human feedback resources (continually updated)
Deep RL for MPC control of Quadruped Robot Locomotion
The Fastest Deep Reinforcement Learning Library
Mastering Atari with Discrete World Models
Sim-to-real RL training and deployment tools for the Unitree Go1 robot.
The reinforcement learning training code for AgiBot X1.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.
Doosan robotic arm, simulation, control, visualization in Gazebo and ROS2 for Reinforcement Learning.
Deep Reinforcement Learning for Robotic Grasping from Octrees
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
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.
24,523 repositories in the index in total.
