What you'll learn
- Create any reinforcement-learning algorithm
- Apply Reinforcement Learning to your scientific experiments
- Use Reinforcement Learning to solve problems
- Take advantage of cutting-edge technologies for your project
- Master the OpenAI gyms
Who is this course for
- Those who are interested in cutting-edge technology and its practical applications
- Those who are enthusiastic about Deep Learning/AI
- Those interested in learning about cutting-edge technologies!
- Those interested in learning reinforcement learning
After completing this course, you will have learned tools and skills considered cutting-edge in Artificial Intelligence.
With this, you can get free access to
- Course Materials for Life
- Expertise in practical reinforcement learning
About Us
Over 100,000 students have received instruction from this online academy in topics including Lift Style, Fitness Training, Cyber Security, Ethical Hacking, Facebook Ads, SEO, Email Marketing, eCommerce, Business Investing, Social Media Marketing, Launching Your Own Business, and Marketing/Ad Agency!
We provide a wide variety of top-notch online courses that educate through real-world examples from subject matter experts and tried-and-true research, all supported by top-notch, studio vocally narrated videos! Teaching practical life skills, which are crucial in today's environment, is the focus.
Every course offered by this online learning academy is instructed by subject-matter specialists who genuinely love what they do and want to share it with others.
Course Curriculum
- 001. Why should you care (9:43)
- 002. Reinforcement learning vs all (3:11)
- 003. Multi-armed bandit (4:52)
- 004. Decision process & applications (6:50)
- 005. Markov Decision Process (5:20)
- 006. Crossentropy method (9:57)
- 007. Approximate crossentropy method (5:15)
- 008. More on approximate crossentropy method (6:24)
- 009. Evolution strategies core idea (6:32)
- 010. Evolution strategies math problems (5:36)
- 011. Evolution strategies log-derivative trick (8:21)
- 012. Evolution strategies duct tape (6:44)
- 013. Blackbox optimization drawbacks (4:54)
- 014. Reward design (15:44)
- 015. State and Action Value Functions (13:06)
- 016. Measuring Policy Optimality (6:15)
- 017. Policy evaluation & improvement (10:44)
- 018. Policy and value iteration (8:13)
- 019. Model-based vs model-free (8:22)
- 020. Monte-Carlo & Temporal Difference; Q-learning (8:51)
- 021. Exploration vs Exploitation (8:25)
- 022. Footnote Monte-Carlo vs Temporal Difference (2:56)
- 023. Accounting for exploration. Expected Value SARSA. (11:16)
- 024. On-policy vs off-policy; Experience replay (7:33)
- 025. Supervised & Reinforcement Learning (17:01)
- 026. Loss functions in value based RL (11:21)
- 027. Difficulties with Approximate Methods (15:29)
- 028. DQN bird's eye view (9:14)
- 029. DQN the internals (9:49)
- 030. DQN statistical issues (6:09)
- 031. Double Q-learning (6:22)
- 032. More DQN tricks (10:54)
- 033. Partial observability (17:56)
- 034. Intuition (9:48)
- 035. All Kinds of Policies (4:26)
- 036. Policy gradient formalism (8:20)
- 037. The log-derivative trick (3:40)
- 038. REINFORCE (8:38)
- 039. Advantage actor-critic (6:35)
- 040. Duct tape zone (4:48)
- 041. Policy-based vs Value-based (4:22)
- 042. Case study A3C (6:53)
- 043. A3C case study (2 2) (3:46)
- 044. Combining supervised & reinforcement learning (6:40)
- 045. Recap bandits (7:48)
- 046. Regret measuring the quality of exploration (6:39)
- 047. The message just repeats. 'Regret, Regret, Regret.' (5:44)
- 048. Intuitive explanation (7:04)
- 049. Thompson Sampling (5:13)
- 050. Optimism in face of uncertainty (5:24)
- 051. UCB-1 (6:58)
- 052. Bayesian UCB (11:44)
- 053. Introduction to planning (17:46)
- 054. Monte Carlo Tree Search (10:39)
Frequently Asked Questions
When does the course start and finish?
The course has begun and will never stop! You set the start and end dates for this entirely self-paced online course.
How long do I have access to the course?
Lifetime access—how does that sound? You receive unrestricted access to this course after registering for as long as you like, on any device you own.
Do I get a certificate?
Yes, when you complete the course, you will receive a certificate of completion which you can happily add to your resume or LinkedIn profile.
Can I cancel my subscription?
Yes you can. You have a 15-days money-back guarantee.
