Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Aravind Srinivas on Twitter: "Our method is very simple and can work with any RL algorithm (off-policy like SAC, on-policy like PPO) and makes *no changes at all* to the actual RL
L5 DDPG and SAC (Foundations of Deep RL Series) - YouTube
A taxonomy of the RL methods. | Download Scientific Diagram
Luc Coupal blog | Soft Actor-Critic part 1: intuition and theoretical aspect
Soft Actor-Critic — Spinning Up documentation
Average performance of the proposed Dirichlet-SAC algorithm as well the... | Download Scientific Diagram
Soft Actor-Critic Reinforcement Learning algorithm | by Dhanoop Karunakaran | Intro to Artificial Intelligence | Medium
Can RL From Pixels be as Efficient as RL From State? – The Berkeley Artificial Intelligence Research Blog
Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition: Ravichandiran, Sudharsan: 9781839210686: Amazon.com: Books
Dynamic stock-decision ensemble strategy based on deep reinforcement learning | SpringerLink
Soft Actor Critic Explained | Papers With Code
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning
RL Weekly 1: Soft Actor-Critic Code Release; Text-based RL Competition; Learning with Training Wheels | endtoend.ai
Applications of reinforcement learning in energy systems - ScienceDirect