543 Open source projects that are alternatives of or similar to Pytorch-PCGrad

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Revisiting Rainbow

MuZero

DrQ: Data regularized Q

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

The code for the SRDQN algorithm to train an agent for the beer game problem

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

Python library for Reinforcement Learning.

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

RAD: Reinforcement Learning with Augmented Data

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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

Keras MNIST for Handwriting Detection

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

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

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Recognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.

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

Hybrid Reward Architecture

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

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

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

Ape-X DQN & DDPG with pytorch & tensorboard

This program shows how Bounding-Box-Regression works in a visual form. Intersection over Union ( IOU ), Non Maximum Suppression ( NMS ), Object detection, 边框回归，边框回归可视化，交并比，非极大值抑制，目标检测。

3D RL Volleyball environment built on Unity ML-Agents

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

A curated list of resources about Machine Learning for Robotics

☔ Deep RL agents with PyTorch☔

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

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

Mario AI Ensemble

No description or website provided.

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

Functional Reinforcement Learning in Scala.

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

Awesome RL: Papers, Books, Codes, Benchmarks

Tensorflow-example：使用MNIST训练模型，并识别手写数字图片

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

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!

"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

One-Shot Learning with Triplet CNNs in Pytorch

Implementation of a digit recognition using my Neural Network with the MNIST data set.

Tensorflow 2.0 implementation of Adversarial Autoencoders

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

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/

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

Death Rally engine reimplementation

Reinforcement Learning algorithm's using google-colab

Playing with MNIST. Machine Learning. Generative Models.

Code for FOCAL Paper Published at ICLR 2021

SeqGAN but with more bells and whistles

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

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Tensorflow implementation of adversarial auto-encoder for MNIST

A Universal Deep Reinforcement Learning Framework

Unofficial Nox (2000) port to Linux using decompiled code from https://playnox.xyz