331 Open source projects that are alternatives of or similar to interp-e2e-driving

Open-source simulator for autonomous driving research.

Awesome RL: Papers, Books, Codes, Benchmarks

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

playing idealized trading games with deep reinforcement learning

Combining deep learning and reinforcement learning.

Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Actor-critic with experience replay

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

JAX implementations of core Deep RL algorithms

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Summaries of machine learning papers

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

SeqGAN but with more bells and whistles

Reinforcement Learning for Super Mario Bros using A3C on GPU

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

(AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning

Mario AI Ensemble

Minimal and Clean Reinforcement Learning Examples

☔ Deep RL agents with PyTorch☔

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

Revisiting Rainbow

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Functional Reinforcement Learning in Scala.

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Modularized Implementation of Deep RL Algorithms in PyTorch

Ape-X DQN & DDPG with pytorch & tensorboard

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

No description or website provided.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

This is a practical resource that makes it easier to learn about and apply Practical Deep Reinforcement Learning (DRL) https://ibrahimsobh.github.io/Practical-DRL/

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

A curated list of resources about Machine Learning for Robotics

3D RL Volleyball environment built on Unity ML-Agents

A Universal Deep Reinforcement Learning Framework