Workshop

Self-Supervision for Reinforcement Learning

Ankesh Anand · Bogdan Mazoure · Amy Zhang · Thang Doan · Khurram Javed · R Devon Hjelm · Martha White

Abstract:

Reinforcement learning entails letting an agent learn through interaction with an environment. The formalism is powerful in it’s generality, and presents us with a hard open-ended problem: how can we design agents that learn efficiently, and generalize well, given only sensory information and a scalar reward signal? The goal of this workshop is to explore the role of self-supervised learning within reinforcement learning agents, to make progress towards this goal.

Chat is not available.

Timezone: America/Los_Angeles »

Schedule