Gradient Boosted Decision Trees (GBDT) are a powerful machine learning technique used primarily for regression and classification tasks. They combine the predictions of multiple weak learners, usually decision trees, to create a strong predictive model. The core idea is to build models sequentially, each new model attempting to correct the errors made by the previous ones. Have gained much popularity in the machine learning community as the algorithms of choice for ...
To kick off Summer Game Fest, the ringleader of the successor to E3, Geoff Keighley, showcased a set of game trailers for games we've heard of and others debuting for the first time. While Microsoft, Sony and Nintendo have trended toward their own showcases, with E3 gone, Summer Game Fest has become the big mid-year multi-platform release show. And this year, we saw a huge selection of games big and small in the two-hour showcase. ...
Fundamental analysis and trend-following strategies are often seen as opposing approaches. Many traders who favor fundamental analysis believe that technical analysis is a waste of time because all necessary information is already reflected in the price. Conversely, technical analysts often view fundamental analysis as flawed because identical patterns, like a head and shoulders, can lead to different outcomes in the same market. more...
Scorpions ~ Ave Maria No Morro
The approach to optimizing the Agent policy with constraints on its behavior turned out to be promising in solving offline reinforcement learning problems. By exploiting historical transitions, the Agent policy is trained to maximize a learned value function. Behavior constrained policy can help to avoid a significant distribution shift in relation to Agent actions, which provides sufficient confidence in the assessment of the action costs. In the previous article we got acquainted ...
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