Generated with Midjourney The NeurIPS 2023 conference, held in the vibrant city of New Orleans from December 10th to 16th, had a particular emphasis on generative AI and large language models (LLMs). In light of the recent groundbreaking advancements in this domain, it was no surprise that these topics dominated the discussions. One of the core themes of this year's … [Read more...] about NeurIPS 2023: Key Takeaways From Invited Talks
Reinforcement Learning
NeurIPS 2020: Key Research Papers in Reinforcement Learning and More
Our team reviewed the papers accepted to NeurIPS 2020 and shortlisted the most interesting ones across different research areas. Here are the topics we cover: Natural Language Processing & Conversational AIComputer VisionReinforcement Learning & MoreTackling COVID-19 with AI & Machine Learning If you’re interested in the remarkable keynote presentations, … [Read more...] about NeurIPS 2020: Key Research Papers in Reinforcement Learning and More
How to Improve Your Supply Chain With Deep Reinforcement Learning
What has set Amazon apart from the competition in online retail? Their supply chain. In fact, this has long been one of the greatest strengths of one of their chief competitors, Walmart. Supply chains are highly complex systems consisting of hundreds if not thousands of manufacturers and logistics carriers around the world who combine resources to create the products we use … [Read more...] about How to Improve Your Supply Chain With Deep Reinforcement Learning
AI For Portfolio Management: From Markowitz To Reinforcement Learning
Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance. On the back office, machine learning is widely applied to spot anomalies in execution logs, for risk management and fraudulent transaction detection. At the front office, AI is used for customer segmentation and support and pricing the … [Read more...] about AI For Portfolio Management: From Markowitz To Reinforcement Learning
Breakthrough Research In Reinforcement Learning From 2019
Reinforcement learning (RL) continues to be less valuable for business applications than supervised learning, and even unsupervised learning. It is successfully applied only in areas where huge amounts of simulated data can be generated, like robotics and games. However, many experts recognize RL as a promising path towards Artificial General Intelligence (AGI), or true … [Read more...] about Breakthrough Research In Reinforcement Learning From 2019
5 Ways Tech Companies Apply Reinforcement Learning To Marketing
Reinforcement learning (RL) is a field in machine learning that involves training software agents to determine the ideal behavior within a specific environment that is suitable for achieving optimized performance. In reinforcement learning, an agent is rewarded for any positive behavior (to encourage such actions) and punished for any negative behavior (to discourage such … [Read more...] about 5 Ways Tech Companies Apply Reinforcement Learning To Marketing
How Stitch Fix Optimizes Client Engagement With Contextual Bandits
Amazing products without engaged clients are bound to fail, and companies claiming to have found the single best solution to client engagement are only fooling themselves. What seems to work today to keep your clients engaged won't necessarily work tomorrow. The "optimal" client engagement tactic for your product will change over time and companies must be fluid and … [Read more...] about How Stitch Fix Optimizes Client Engagement With Contextual Bandits
The Multi-Armed Bandit Problem and Its Solutions
The multi-armed bandit problem is a classic example to demonstrate the exploration versus exploitation dilemma. This post introduces the bandit problem and how to solve it using different exploration strategies. Exploitation vs ExplorationWhat is Multi-Armed Bandit? Definition Bandit Strategies ε-Greedy AlgorithmUpper Confidence Bounds Hoeffding’s Inequality UCB1 Bayesian … [Read more...] about The Multi-Armed Bandit Problem and Its Solutions
A Beginner-Friendly Introduction to Reinforcement Learning
For those of you who are completely new to Reinforcement Learning, we've searched through beginner-friendly content across the internet and chose to feature this introductory video which we think presents one of the best technical but still understandable introductions to the field. In this very accessible video, Xander Steenbrugge talks about: the explosion of the … [Read more...] about A Beginner-Friendly Introduction to Reinforcement Learning
Reinforcement Learning Explained: Overview, Comparisons and Applications in Business
Imagine you’re completing a mission in a computer game. Maybe you’re going through a military depot to find a secret weapon. You get points for the right actions (killing an enemy) and lose them for the wrong ones (falling into a pit or getting hit). If you’re playing on high difficulty, you might not conclude this task in just one attempt. Try after try, you learn which … [Read more...] about Reinforcement Learning Explained: Overview, Comparisons and Applications in Business