#Deepreinforcementlearning
#Deepreinforcementlearning (DRL) shows great promise in managing the complexity of the modern electric #powerdistributionsystems. This tutorial outlines how to translate operational tasks into #Markovdecisionprocess formulations suitable for DRL implementation. bit.ly/47FvX8w
November 11, 2025 at 3:01 AM
Explore our June issue for insights into #deeplearning methods for #superresolution, the application of #deepreinforcementlearning in #powersystems, and #analogtodigitalconverters for #IoT.

Read more: bit.ly/42UGYBr
October 22, 2025 at 3:59 AM
Every 1% efficiency gain in wind = $200K/year/100MW.
9-month payback.

88% of AI energy research never leaves the lab.

New essay on why Deep RL is finally bridging the deployment gap—impact on $50-100B AI energy market.

Full analysis ⬇️
buff.ly/bDPhBjT

#AI #ClimateTech #DeepReinforcementLearning
Deep reinforcement learning is transforming wind energy economics at scale
Artificial intelligence is delivering 1-20% efficiency improvements in wind farm operations through software-only implementations.
open.substack.com
October 3, 2025 at 2:45 PM
Deep reinforcement learning achieved up to 95% vibration reduction of a circular cylinder in a water‑tunnel flow at Reynolds ≈3000, even with actuator delay. Read more: https://getnews.me/deep-rl-controls-vortex-induced-vibrations-in-real-time/ #deepreinforcementlearning #fluidcontrol
September 30, 2025 at 10:05 PM
This research validates a weekly re-trained DRL agent, showing it outperforms static models & Black-Scholes for practical American option hedging. #deepreinforcementlearning
Validating Hyperparameters and a Weekly Re-training Strategy for DRL Option Hedging
hackernoon.com
August 26, 2025 at 10:00 AM
This methodology details how to train and test DRL agents for American option hedging, introducing a novel weekly re-training strategy using Chebyshev pricing. #deepreinforcementlearning
Don't Just Train Your AI, Re-Train It: The Weekly Workout Plan for a Smarter Option Hedge
hackernoon.com
August 26, 2025 at 9:51 AM
This review of DRL hedging literature highlights the need for hyperparameter analysis, especially for real-world American option applications. #deepreinforcementlearning
Avoiding the Pitfalls: A Guide to the Current State of DRL Option Hedging Research
hackernoon.com
August 26, 2025 at 9:39 AM
This paper makes Deep Reinforcement Learning practical for hedging American options by optimizing hyperparameters and using a weekly re-training strategy. #deepreinforcementlearning
How Weekly AI Training Is Beating a Nobel Prize-Winning Formula
hackernoon.com
August 26, 2025 at 9:35 AM
Deep Reinforcement Learning with anticipatory reward in LSTM for
Collision Avoidance of Mobile Robots
François Guérin, Frédéric Guinand et al.
Paper
Details
#DeepReinforcementLearning #AnticipatoryRewards #MobileRobotCollisionAvoidance
August 15, 2025 at 4:04 PM
ME$^3$-BEV: Mamba-Enhanced Deep Reinforcement Learning for End-to-End
Autonomous Driving with BEV-Perception
Dongsheng Yang, Lei He et al.
Paper
Details
#ME3BEV #DeepReinforcementLearning #AutonomousDriving
August 11, 2025 at 4:03 PM
Deep reinforcement and transfer learning for autonomous robots, how does it work? 🤔

Find out more: t.co/x42FlhLm8e

🤖 Get your Duckiebot and Duckiedrone - t.co/p6XbHk78wr

#Robotics #AI #DeepReinforcementLearning #TransferLearning #Sim2Real t.co/kKW3qLURNX
March 14, 2025 at 1:43 PM
If you are interested in large language models see my paper below on how we can uncover the biases learned by these models.

Link: neurips2023-enlsp.github.io/papers/paper...

#ReinforcementLearning #FoundationModels #DeepRL #DeepReinforcementLearning #ResponsibleAI #AIBias #LLMs #LanguageModels
February 11, 2025 at 5:56 PM
A recent paper I wrote introduces foundational analysis on deep reinforcement learning decision making and representations learnt by it.

Link: proceedings.mlr.press/v235/korkmaz...

#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
January 14, 2025 at 2:15 PM
I wrote a recent survey about deep reinforcement learning. The paper is a compact guide to understand some of the key concepts in reinforcement learning.

Link: arxiv.org/pdf/2401.023...

#ReinforcementLearning #ICLR2025 #ACL2025 #NAACL2025 #NeurIPS2024 #ICML2025 #DeepRL #DeepReinforcementLearning
January 12, 2025 at 4:21 PM
The recent paper I wrote on deep reinforcement learning and generalization will appear #NeurIPS2024 @neuripsconf.bsky.social !

#ReinforcementLearning #DeepReinforcementLearning
December 10, 2024 at 6:35 PM
Last but not least, came Tekgul & Asokan's "FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks" which is robust to model modification attacks. (www.acsac.org/2023/p...) 4/4
#MachineLearningSecurity #DeepReinforcementLearning #SecurityInAI
June 20, 2024 at 2:01 PM