2021
Exact Reduction of Huge Action Spaces in General Reinforcement Learning
AAAI 2021technical
The reinforcement learning (RL) framework formalizes the notion of learning with interactions. Many real-world problems have large state-spaces and/or action-spaces such as in Go, StarCraft, protein folding, and robotics or are non-Markovian, which cause significant challenges to RL algorithms. In t…