Sungjoon Choi

277 Followers

24 SlideShares 277 Followers 105 Followings

inverse reinforcement learning deep learning imitation learning policy gradient generative adversarial imitation learning optimal control markov decision processes bellman equation reinforcement learning learning theory rkhs

Activity
About

Recent Trends in Neural Net Policy Learning

8 years ago • 2464 Views

Robot, Learning From Data

8 years ago • 1493 Views

TensorFlow Tutorial Part1

7 years ago • 1427 Views

TensorFlow Tutorial Part2

7 years ago • 1065 Views

CNN Tutorial

7 years ago • 5752 Views

Object Detection Methods using Deep Learning

7 years ago • 2460 Views

Semantic Segmentation Methods using Deep Learning

7 years ago • 1935 Views

Deep Learning in Computer Vision

7 years ago • 10702 Views

Deep Learning in Robotics

7 years ago • 3541 Views

Value iteration networks

7 years ago • 2588 Views

Inverse Reinforcement Learning Algorithms

7 years ago • 1128 Views

Kernel, RKHS, and Gaussian Processes

7 years ago • 2427 Views

Connection between Bellman equation and Markov Decision Processes

7 years ago • 1598 Views

InfoGAIL

6 years ago • 2708 Views

Domain Adaptation Methods

6 years ago • 1063 Views

IROS 2017 Slides

6 years ago • 421 Views

LevDNN

6 years ago • 329 Views

Leveraged Gaussian Process

6 years ago • 1141 Views

Recent Trends in Deep Learning

6 years ago • 4262 Views

Uncertainty Modeling in Deep Learning

6 years ago • 1440 Views

Gaussian Process Latent Variable Model

6 years ago • 593 Views

Modeling uncertainty in deep learning

6 years ago • 2995 Views

Hybrid computing using a neural network with dynamic external memory

6 years ago • 590 Views

RNN and its applications

6 years ago • 8190 Views

Robot, Learning From Data

Sungjoon Choi • 8 years ago

Sungjoon Choi

Presentations

Recent Trends in Neural Net Policy Learning

Robot, Learning From Data

TensorFlow Tutorial Part1

TensorFlow Tutorial Part2

CNN Tutorial

Object Detection Methods using Deep Learning

Semantic Segmentation Methods using Deep Learning

Deep Learning in Computer Vision

Deep Learning in Robotics

Value iteration networks

Inverse Reinforcement Learning Algorithms

Kernel, RKHS, and Gaussian Processes

Connection between Bellman equation and Markov Decision Processes

InfoGAIL

Domain Adaptation Methods

IROS 2017 Slides

LevDNN

Leveraged Gaussian Process

Recent Trends in Deep Learning

Uncertainty Modeling in Deep Learning

Gaussian Process Latent Variable Model

Modeling uncertainty in deep learning

Hybrid computing using a neural network with dynamic external memory

RNN and its applications

Likes

Robot, Learning From Data