Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

11 Mar 2019 • Denis Steckelmacher • Hélène Plisnier • Diederik M. Roijers • Ann Nowé

Value-based reinforcement-learning algorithms provide state-of-the-art results in model-free discrete-action settings, and tend to outperform actor-critic algorithms. We argue that actor-critic algorithms are limited by their need for an on-policy critic... (read more)

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METHOD	TYPE
Entropy Regularization	Regularization
Convolution	Convolutions
PPO	Policy Gradient Methods
Dense Connections	Feedforward Networks
Q-Learning	Off-Policy TD Control
DQN	Q-Learning Networks

METHOD

TYPE

Entropy Regularization