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a3c_keras_flappybird

Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras

awesome-carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

awesome-rl

Reinforcement learning resources curated

blog

各个地方发的博客汇总

carla

Open-source simulator for autonomous driving research.

cmake

Mirror of CMake upstream repository

ddpg_torcs_pytorch

Using PyTorch and DDPG to play Torcs

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deeprl_algorithms

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

dqn_of_dwa_matlab

learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)

epsilon

evo

Python package for the evaluation of odometry and SLAM

highway-driving

Path planning algorithm to safely navigate a vehicle around highway while changing lanes and limiting acceleration and jerk.

imu_utils

A ROS package tool to analyze the IMU performance.

infer

The code & datasets for the paper INFER: INtermediate representations for FuturE pRediction

keras-rl

Deep Reinforcement Learning for Keras.

machine-learning-coursera-1

This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.

mpsim

A GNSS multipath simulator in Matlab/Octave

muti-branch-ddpg-carla

A tensorflow implemention of ECCV2018 Paper：CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

obstacle_detector

A ROS package for 2D obstacle detection based on laser range data.

onednn

oneAPI Deep Neural Network Library (oneDNN)

policy-gradient-and-actor-critic-keras

Simple implementation of Policy Gradient (PG)/ Actor-Critic with keras

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

spatiotemporal_semantic_corridor

Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".