Published: 01 Jan 2020, Last Modified: 10 Nov 2023CoRL 2020Readers: Everyone
Abstract:Reinforcement learning (RL), particularly in sparse reward settings, often requires prohibitively large numbers of interactions with the environment, thereby limiting its applicability to complex p...