Ahmad G. Ahmad

PhD candidate at Boston University, working on planning and decision-making for autonomous systems.

[Ahmad G. Ahmad @AhmadGhandi6]

Thrilled to share that I will be presenting at Talking Robotics next Wednesday, June 17! I will be presenting work on quantitative temporal logic and how richer robustness measures can be used to guide planning, learning, and control in autonomous systems. Please join if intrstd.

[Talking Robotics @talkingrobotics]

🤖Join us for Talking Robotics #90 with Ahmad Ahmad (WPI) to hear about Quantitative Temporal Logic for Safe and Robust Planning, Learning, and Control.

📅Schedule: June 17, 2026 | 09:00 PDT | 18:00 CEST
💻Zoom: https://t.co/CKITVElNHk
🔗Details: https://t.co/WIiDNuz64c

[Ahmad G. Ahmad @AhmadGhandi6]

(8/8) Happy to discuss:
How TWTL bridges temporal gaps in rewards?
Our hybrid architecture's theoretical guarantees.
Extensions to more complex temporal specifications.
https://t.co/Gagcifwx3Q
📍Posters 2: June 5, 4:45-5:45, Michigan Union
#RL #PPO #TemporalLogic #L4DC2025 #AI

[Ahmad G. Ahmad @AhmadGhandi6]

(1/8) 🧵Presenting our work at #L4DC2025 on a fundamental RL challenge: learning in environments with delayed rewards (think soccer tactics that only pay off after many moves). We enhance PPO with hybrid policies and temporal logic.📍Posters 2: June 5, 4:45-5:45, Michigan Union

[Ahmad G. Ahmad @AhmadGhandi6]

(7/8) Applications:
- Complex games with strategic depth
- Robotics tasks with delayed outcomes
- Industrial processes with long-term objectives
- Relevant for any domain where rewards are temporally separated from actions.

[Ahmad G. Ahmad @AhmadGhandi6]

Please come come through if you’re around BU this Friday :)

I’ll be presenting our latest, submitted, work on “Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards”

Preprint: https://t.co/Uc8131GKmx

[Ahmad G. Ahmad @AhmadGhandi6]

Good times at the ACC24! Glad to have had the opportunity to learn about interesting work and to catch up with friends after long time :)

[Ahmad G. Ahmad @AhmadGhandi6]

Wonderful times with the labmates :)
📍New England mountains ⛰️

[Mela Coffey @MelaCoffey]

Had the opportunity to get outside the city (and state) yesterday. So lucky to have such great labmates!

[Ahmad G. Ahmad @AhmadGhandi6]

@engamirahijazi الله يرحمهم ويربط على قلوبكم.
عظم الله اجركم.

[Ahmad G. Ahmad @AhmadGhandi6]

@GioeleZardini @MIT @MIT_CEE @mitidss That’s awesome news! Congrats Gioele :)

[Ahmad G. Ahmad @AhmadGhandi6]

Getting energy boost 🤖! I had the pleasure to learn about #boston_dynamic's latest cool work and what's coming ahead.
The video: Spot in Action at MIT

[Ahmad G. Ahmad @AhmadGhandi6]

@GioeleZardini Welcome to Boston Gioele! :)

[Ahmad G. Ahmad @AhmadGhandi6]

adapt the sampling of the motion planning algorithm. Preprint of the work: https://t.co/UFHXJPFdJc (4/4)

[Ahmad G. Ahmad @AhmadGhandi6]

In Cancun for the #CDC22
@CSSIEEE
😀.
I will be presenting our work on adaptive sampling-based motion planning with safety-based local exploration and planning.
Please feel free to attend my talk on Thursday (10.40am) @ Acapulco. (1/4)

[Ahmad G. Ahmad @AhmadGhandi6]

To improve the sampling performance, following some works in the literature, we represent the problem as a simulation of rare events problem, for which the Cross-Entropy method has been used to estimate the probability of such events. We exploit the Cross-Entropy method to (3/4)