Recent methods for imitation learning directly learn a Q-function using ...
Parallel-elastic joints can improve the efficiency and strength of robot...
Efficient object level representation for monocular semantic simultaneou...
Black-box policy optimization is a class of reinforcement learning algor...
Autonomous robots should operate in real-world dynamic environments and
...
Learning robot motions from demonstration requires having models that ar...
Reinforcement learning methods for robotics are increasingly successful ...
Highly dynamic robotic tasks require high-speed and reactive robots. The...
We present a new family of deep neural network-based dynamic systems. Th...
We introduce ImitationFlow, a novel Deep generative model that allows
le...
Reinforcement learning (RL) has demonstrated its ability to solve high
d...
MushroomRL is an open-source Python library developed to simplify the pr...
Reinforcement learning with sparse rewards is still an open challenge.
C...