Multimodal-Deep-Q-Network-for-Social-Human-Robot-Interaction

Social robot learner

A deep reinforcement learning system designed to enable robots to acquire social interaction skills through multimodal interactions with humans.

Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.

GitHub

14 stars
3 watching
11 forks
Language: Lua
last commit: over 7 years ago
activity-recognitionactivity-understandingconvolutional-neural-networksdeep-reinforcement-learninghuman-robot-interactionmultimodalityperception

Related projects:

Repository Description Stars
ahq1993/perceivable-human-robot-interaction-using-neural-attention-q-networks An implementation of a deep reinforcement learning algorithm to teach a robot to interact with humans in a socially acceptable manner. 4
5vision/darqn An implementation of a deep reinforcement learning model for continuous control tasks 115
minqi/learning-to-communicate-pytorch This project implements a PyTorch-based framework for learning discrete communication protocols in multi-agent reinforcement learning environments. 346
vita-epfl/crowdnav Develops robot navigation policies in crowded spaces using reinforcement learning and attention mechanisms. 598
kuz/deepmind-atari-deep-q-learner An implementation of a deep reinforcement learning architecture for playing Atari games 1,826
google-deepmind/meltingpot Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations 620
hungtuchen/pytorch-dqn An implementation of a deep reinforcement learning network using PyTorch to learn human-level control through trial and error. 386
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
makrisio/q-learning-algorithm-implementation-in-matlab An implementation of the Q-Learning algorithm in MATLAB for training agents to navigate mazes 43
berkeleyautomation/gqcnn Develops and analyzes convolutional neural networks for grasp quality in robotics 313
learning-at-home/hivemind A PyTorch library for decentralized deep learning across the Internet. 2,051
thealexhong/starship An architecture for affective human-robot interaction using multimodal recognition and emotional response models. 2
intelligent-machine-learning/dlrover An automatic distributed deep learning system that simplifies the training of large AI models 1,270
vlgiitr/dmn-plus A PyTorch implementation of an improved question answering architecture with dynamic memory networks and attention mechanisms 64
robotlocomotion/pytorch-dense-correspondence This project presents a method for learning dense object descriptors from self-supervised data, enabling tasks such as robotic manipulation and object recognition. 558