Robotic AI & Learning Lab
We open-source many of our research projects. See the
page for a comprehensive list of our papers along with released software.
Guided Policy Search
, a library for model-based deep reinforcement learning.
, a library for model-free maximum entropy reinforcement learning.
, an off-policy actor-critic framework for model-free maximum entropy reinforcement learning.
, a library for model-free inverse reinforcement learning.
Generalized Computation Graphs
, a library for deep reinforcement learning.
Divide and Conquer Reinforcement Learning
, a library for model-free deep reinforcement learning.
, a Tensorflow model for deep video prediction.
, a library for object detection for robotics.
, a library for few-shot segmentation using PyTorch.
Copyright © UC Berkeley RAIL Lab 2017