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Rank 1,597,372 (Top 32 %)
Language
Python
License
MIT License
Created almost 4 years ago
Updated over 3 years ago

ErickRosete

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Augmenting dynamical systems by combining them with deep reinforcement learning in order to improve their final performance.

tacorl

TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning

Python

MAML-Imitation-Learning

Imitation learning using MAML in the metaworld dataset

Python

Visual_Tactile_Grasping

Pytorch version of paper "The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?"

Jupyter Notebook

IAFCJ-Site

San Luis Christian Church Webpage in MERN + GraphQL

JavaScript

Robot-Skills-from-Video

Make a robot capable of performing many different complex tasks without having to relearn each from scratch in a continuous setting.

Python

gym_tacto

Set of PyBullet environments for robotic manipulation that can use tactile information

Python

redspira

HTML

SimonSays

A unity game - minigame for a game presented in game jam

EventBooking

MERN with GraphQL project

JavaScript

react-dnd-example

Created a React drag and drop example (multiple sources and targets)

JavaScript

DQN_Lightning

Using PyTorch Lightning for Deep Q Network

Python

flagspot-app

Flagspot app in flutter

Dart

CanSat

CanSat application developed with React, Electron, Material UI and Arduino

JavaScript

AstraDev

html, css, bootstrap 4 - AstraDev webpage

JavaScript

PresupuestosIDE_Server

NodeJS + GraphQL Server

JavaScript

Robotics_Haptics

Python

ErickRosete/Deep-Reinforcement-Learning-for-Adapting-Dynamical-Systems

ErickRosete

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