Last week, I had the chance to attend OpenAI’s first workshop and hackathon for Spinning Up. The workshop was taught by one of my heroes and top researcher on Deep Reinforcement Learning, Josh Achiam. The first half of the workshop covered the basics of deep reinforcement learning. Part 2, presented by Josh Achiam. Afterwards we had a brief talk on Learning Dexterity presented by Matthias Plappert from OpenAI’s Robotics team. Then we had another awesome chat on an overview of AGI Safety presented by Dario Amodei from OpenAI’s Safety team.
TL;DR 1st time at NeurIPS, was on a mission to learn as much as possible on deep reinforcement learning, MC’d a workshop.
1. Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias by Abhinav Gupta∗ Adithyavairavan Murali∗ Dhiraj Gandhi∗ Lerrel Pinto∗
2. Visual Reinforcement Learning with Imagined Goals by Ashvin Nair*, Vitchyr Pong*, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine
More to come from the deep reinforcement learning workshop
Machines+Intelligence is a blog that showcases AI and Robotics research from outside Silicon Valley. The goal is to learn about research ecosystems and to host Q&A sessions with researchers, founders, and practitioners from around the globe. Topics covered will include developments and applications of the following sub-fields:
Natural Language Processing
Planning and motor control
Inverse problems & well-posedness
Neuroscience: neurons and models
Why call the it Machines+Intelligence?
Apart from my personal robotics/machine obsession, the need to better understand intelligent behavior in humans and machines…
A geeky blog showcasing AI and Robotics research from outside Silicon Valley.