Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 7: Introduction to Value-Function ApproximationScaling reinforcement learning from tabular methods to large spaces1d ago1d ago
Vyacheslav EfimovI Have Hit the Gym for 50 Consecutive Days — Here is What I Think About ItIt is not only about building muscles — amazing benefits I analyzed after 50 days of gym commitment5d ago5d ago
Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 6: n-step BootstrappingPushing the boundaries: generalizing temporal difference algorithmsAug 7Aug 7
Vyacheslav EfimovHow to Deal with Rejections in LifeDiscover a smart strategy to control emotions against rejectionsJul 267Jul 267
Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 5: Temporal-Difference LearningIntelligently synergizing dynamic programming and Monte Carlo algorithmsJul 132Jul 132
Vyacheslav EfimovinTowards Data ScienceSystem Design: Load BalancerOrchestrating strategies for optimal workload distribution in microservice applicationsJun 281Jun 281
Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 4: Monte Carlo ControlHarnessing Monte Carlo algorithms to discover the best strategiesJun 111Jun 111
Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 3: Monte Carlo MethodsFrom casinos to AI: unveiling the power of Monte Carlo methods in complex environmentsMay 23May 23
Vyacheslav EfimovinTowards Data ScienceSystem Design: Quadtrees & GeoHashEfficient geodata management for optimized search in real-world applicationsMay 85May 85
Vyacheslav EfimovinTowards Data ScienceReinforcement Learning, Part 2: Policy Evaluation and ImprovementFrom data to decisions: maximizing rewards with policy improvement methods for optimal strategiesApr 232Apr 232