A Comparison of Action Spaces for Learning Manipulation Tasks

no code implementations • 23 Aug 2019 • Patrick Varin, Lev Grossman, Scott Kuindersma

Designing reinforcement learning (RL) problems that can produce delicate and precise manipulation policies requires careful choice of the reward function, state, and action spaces.

reinforcement-learning Reinforcement Learning (RL)