Deep Reinforcement Learning Workshop for Beginners
#IEEEDay
#technical
#windsor
#workshop
#decision-making
#bot
#reinforcement-learning
#deep-learning
#learning
Decision Making with Deep Reinforcement Learning (RL) for Beginners
Agenda:
- Basics of RL
- RL with Deep Learning
- Implementation of a PickupRobot in Demo Grid World.
- Q & A
Who Should Attend:
- Students and beginners curious about RL
- Interested in decision-making and Optimization
- Interested in working in Robotics , Game and other fields
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
- University of Windsor
- Windsor, Ontario
- Canada
- Building: CEI
- Room Number: 1102
- Starts 16 September 2025 05:00 AM UTC
- Ends 02 October 2025 05:00 AM UTC
- No Admission Charge
Speakers
Ashab
Biography:
Ashab is a PhD candidate & researcher in electrical and computer engineering with 10+ years of industrial and academic experience, specializing in reinforcement learning, edge computing, and cyber-physical systems (CPS).
- Proven ability to design, implement, and evaluate novel algorithms for Cyber-Physical Systems (CPS), with applications in Connected and Autonomous Vehicles (CAV), Mobile Edge Computing (MEC), and Vehicular Edge Computing (VEC).
- Expertise in machine learning, deep reinforcement learning (DRL), and multi-agent deep reinforcement learning (MADRL).
- Experience in developing RL/DRL agents using PyTorch, TensorFlow, Stable-Baselines3, and AgileRL.
- Research contributions with ongoing work targeting publications in IEEE Transactions and top-tier conferences.
- Strong background and hands-on experience in automation, control systems, and industrial CPS
Media
| ieee-rl-workshop | 942.92 KiB |