GitHub3y
Model Predictive Actor-Critic Reinforcement Learning
Substantial advancements to model-based reinforcement learning algorithms have been impeded by the model-bias induced by the collected data, which generally hurts performance. Meanwhile, their ...
GitHub3y
Actor-Critic Reinforcement Learning Controller for a Quadcopter
This project trains an Advantage Actor-Critic (A2C) reinforcement learning agent to control the motor speeds ... The final layer in the below diagram (ActorOutput) is the softmax to turn the action ...
IEEE23d
A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids
The first stage is formulated as a non-convex deterministic optimization problem, while the second stage is modeled as a Markov decision process solved by an entropy-regularized deep reinforcement ...
Wikiwand29d
Distributional Soft Actor Critic
Distributional Soft Actor Critic (DSAC) is a suite of model-free off-policy reinforcement learning algorithms, tailored for learning decision-making or control policies in complex systems with ...
Princeton University9y
Actor-critic models of the basal ganglia: New anatomical and computational perspectives
and the extent to which models of the actor take into account known basal ganglia anatomy and physiology. To complement the efforts to relate basal ganglia mechanisms to reinforcement learning, we ...
IEEE3y
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning
"IEEE.tv is an excellent step by IEEE. This will pave a new way in knowledge-sharing and spreading ideas across the globe." ...