We investigate whether Deep Reinforcement Learning (Deep RL) is able to
...
The ability to effectively reuse prior knowledge is a key requirement wh...
We present a system for applying sim2real approaches to "in the wild" sc...
Robots will experience non-stationary environment dynamics throughout th...
We investigate the use of prior knowledge of human and animal movement t...
Intelligent behaviour in the physical world exhibits structure at multip...
Reinforcement learning requires manual specification of a reward functio...
Deep reinforcement learning suggests the promise of fully automated lear...
Model-free deep reinforcement learning (RL) algorithms have been success...
We address the problem of learning hierarchical deep neural network poli...
Model-free deep reinforcement learning has been shown to exhibit good
pe...
Model-free deep reinforcement learning (RL) algorithms have been demonst...
We propose a method for learning expressive energy-based policies for
co...