Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces

Actor-Accelerated Policy Dual Averaging for Reinforcement Learning in Continuous Action Spaces explores Actor-accelerated PDA enhances reinforcement learning in continuous action spaces by approximating optimization sub-problems for faster runtimes.. Commercial viability score: 6/10 in Reinforcement Learning.