342 Open source projects that are alternatives of or similar to Underflow

Examples

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Developing a deep neural network to play a snake game

Research repo of RL

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Deep Reinforcement Learning Algorithms Implementation in PyTorch

Deep Developmental Reinforcement Learning

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

No description or website provided.

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Machine- and Reinforcement Learning ExtensioN for (game) Engines

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Fitness landscape exploration sandbox for biological sequence design.

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

Evaluating pre-trained navigation agents under corruptions

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

Deep reinforcement learning with tensorflow2

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Hierarchical-DQN in pytorch (not actively maintained)

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

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.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

Reinforcement learning framework to accelerate research

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

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

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Deep Reinforcement Learning For Sequence to Sequence Models

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Simple A3C implementation with pytorch + multiprocessing

PyTorch C++ Reinforcement Learning

[파이썬과 케라스로 배우는 강화학습] 예제

Applied Deep Learning (2019 Spring) @ NTU

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3