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Advanced AI: Deep Reinforcement Learning in PyTorch (v2)
Apply DQN and A2C to Atari Environments (Breakout, Pong, Asteroids, etc.). VIP Only: Apply A2C to Build a Trading Algorithm for Multi-Period Portfolio Optimization. Review Reinforcement Learning Basics: MDPs, Bellman Equation, Q-Learning — now $10.99, was $109.99, Reinforcement Learning deal updated Nov 3.
by Lazy Programmer Inc., Lazy Programmer Team · ⭐ 4.7 via Udemy · 1,942 students · English
$10.99$109.9990% OFF
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Code auto-applies at Udemy checkout
✓ 90% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since June 10, 2025 to November 4, 2025. Red dot = current price ($10.99) — CoursesWyn records the price on each sync.
Current price
$10.99
Original price
$109.99
Tracked since
June 10, 2025
Last checked
Nov 4
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on November 4, 2025. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
8.7
/ 10
Discount depth
90%
Udemy rating
4.7 / 5
Popularity
1,942 students
Tracking length
431 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
Live verification log Updated automatically
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Jun 10, 2025Listed by CoursesWyn — price recorded at $10.99Listed
Nov 4, 2025Coupon checked — checkout price $10.99 · listed until Nov 30Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | November 4, 2025 |
| Level | All Levels |
| Content | 15 hours 30 minutes |
| Language | English |
| Requirements | Reinforcement Learning fundamentals: MDPs, Bellman Equation, Monte Carlo Methods, Temporal Difference Learning · Undergraduate STEM math: calculus, probability, statistics |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Review Reinforcement Learning Basics: MDPs, Bellman Equation, Q-Learning
Theory and Implementation of Deep Q-Learning / DQN
Theory and Implementation of Policy Gradient Methods and A2C (Advantage Actor-Critic)
Apply DQN and A2C to Atari Environments (Breakout, Pong, Asteroids, etc.)
VIP Only: Apply A2C to Build a Trading Algorithm for Multi-Period Portfolio Optimization
How to redeem this coupon
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Coupon & redemption FAQ
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