Designing reinforcement learning (RL) agents is typically a difficult pr...
Predictive auxiliary tasks have been shown to improve performance in num...
We present Γ-nets, a method for generalizing value function estimation
o...
Here we propose using the successor representation (SR) to accelerate
le...
This paper investigates estimating the variance of a temporal-difference...
This work presents an overarching perspective on the role that machine
i...
Agents of general intelligence deployed in real-world scenarios must ada...