chatzilygeroudis_2018_rte

Robot recovery learning

Research on an algorithm to learn how robots recover from damage in simulations and real-world environments

Code for the Reset-free Trial and Error learning paper (RTE) experiments

GitHub

10 stars
5 watching
3 forks
Language: C++
last commit: almost 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
dusty-nv/jetson-reinforcement Provides tools and libraries for training intelligent agents to perform complex tasks in robotics using deep reinforcement learning and GPU acceleration. 884
dannnylo/rtesseract A Ruby library providing an interface to the Tesseract OCR system. 828
resibots/blackdrops An open-source policy search algorithm for robotics that uses Gaussian processes to model robot dynamics and accounts for uncertainty. 64
google-research/relay-policy-learning Environments and data for training reinforcement learning agents in a kitchen simulator 107
rmcelreath/statrethinking_winter2019 A repository of statistical modeling materials and resources for an R course on Bayesian inference 2,018
alexgutteridge/rsruby A Ruby bridge to the R statistical programming environment 332
jshilong/gpt4roi Training and deploying large language models on computer vision tasks using region-of-interest inputs 506
flamingchickens1540/rooster A common library of useful classes and systems for robot control 12
ethanyanjiali/minchatgpt This project demonstrates the effectiveness of reinforcement learning from human feedback (RLHF) in improving small language models like GPT-2. 213
jhu-lcsr/good_robot Research on repurposing reinforcement learning for transfer between tasks in robotics and multi-step visual tasks with simulation-to-real transfer 107
google-research/noisystudent A semi-supervised learning method to improve the accuracy of machine learning models by using noisy teacher models and student models. 753
nadavbh12/retro-learning-environment A framework for training AI algorithms using game consoles as input 185
jonasferry/tclrobots A programming game where players write Tcl programs to control robots in battles 14
hubfire/muti-branch-ddpg-carla An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments. 79
autonomous-resilient-cyber-defence/primaite An AI training environment for cyber-defence scenarios 17