403 Open source projects that are alternatives of or similar to LWDRLC

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

Artificial intelligence for the Snake game.

Code for NIPS 2017 learning to run challenge

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)

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

Develop ultimate AI Pokémon trainer

MuZero

Reinforcement learning with tensorflow 2 keras

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

Revisiting Rainbow

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

TensorFlow2 Reinforcement Learning

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

No description or website provided.

Reinforcement Learning Demos

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

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

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Rainbow: Combining Improvements in Deep Reinforcement Learning

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

使用深度强化学习解决视觉跟踪和视觉导航问题

Notes and comments about Deep Reinforcement Learning papers

Play Google Chrome's T-rex game with TensorFlow

No description or website provided.

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Pytorch Implementation of MuZero

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

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

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

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

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

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

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Deep Reinforcement Learning For Sequence to Sequence Models

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Multiple implementations for abstractive text summurization , using google colab

Implementation of the Deep Q-learning algorithm to solve MDPs

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

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

Teach a Quadcopter How to Fly!

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generated to form trading strategies.

For deep RL and the future of AI.

Applied Deep Learning (2019 Spring) @ NTU

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

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Deep Reinforcement Learning (DRL) agents applied to medical images

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Grokking Deep Reinforcement Learning

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

PyTorch implementation of Trust Region Policy Optimization