20chase

micrl-learning-papers

For MICRLer

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

locomotionenv

m100_gazebo

micrl_tools

For MICRLer

1474-MP.github.io

collvoid

ROS multi_robot_collision_avoidance

gan_test

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlsh

MobileNet

MobileNet build with Tensorflow

pytorch-mono-depth

Monocular depth prediction with PyTorch

quadrotor_simulation

This is a short program in ros for quadrotor simulation

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

rl_learner

some learners based on reinforcement learning algorithms : )

ros_web_cam

read web_cam based on ROS and OpenCV

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

TradingGym

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.