Supporting state-of-the-art AI research requires balancing rapid prototy...
We consider a general class of non-linear Bellman equations. These open ...
The ability to transfer skills across tasks has the potential to scale u...
The ability of a reinforcement learning (RL) agent to learn about many r...
Despite significant advances in the field of deep Reinforcement Learning...
We propose a distributed architecture for deep reinforcement learning at...
Some real-world domains are best characterized as a single task, but for...
This paper introduces SC2LE (StarCraft II Learning Environment), a
reinf...
Most deep reinforcement learning algorithms are data inefficient in comp...
Deep reinforcement learning (RL) has achieved several high profile succe...
The ability to learn tasks in a sequential fashion is crucial to the
dev...