Animals are able to rapidly infer from limited experience when sets of s...
Learning representations of algorithms is an emerging area of machine
le...
Continuous first-person 3D environments pose unique exploration challeng...
Most deep reinforcement learning (RL) algorithms distill experience into...
Many reinforcement learning (RL) agents require a large amount of experi...
In standard neural networks the amount of computation used grows with th...
Reinforcement learning agents often forget details of the past, especial...
Recent research developing neural network architectures with external me...
Learning to navigate in complex environments with dynamic elements is an...