Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...
In this episode of CMSWire TV's "Beyond the Call" show, Dom Nicastro hosts Trish Wethman, chief customer officer, and Maureen Connors, interim chief marketing officer, of Best Egg. Together, they ...
LangSmith introduces dynamic few-shot example selectors, allowing for improved LLM app performance by dynamically selecting relevant examples based on user input. LangSmith has unveiled a new feature ...
This repository contains my solutions and notes for the NPTEL Programming, Data Structures And Algorithms Using Python course. The course covers fundamental, intermediate programming, data structures, ...
Dynamic filtering can be used to block much more aggressively than what would normally happen when relying only on the default filter lists. With dynamic filtering, web pages are definitely more ...
Abstract: We consider the sequential allocation of differing weapons to a collection of adversarial targets with the goal of surviving to destroy a critical target within a combat simulation. The ...
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