mccormick.northwestern.edu

ELEC_ENG 373, 473: Deep Reinforcement Learning from Scratch

Prior deep learning experience (e.g. ELEC_ENG/COMP_ENG 395/495 Deep Learning Foundations from Scratch ) and strong familiarity with the Python programming language. Python will be used for all coding ...

Wang Mengdi's Team Launches TraceRL: Moving Towards a Unified Reinforcement Learning Framework for Diffusion Language Models

Recently, the team led by Professor Wang Mengdi at Princeton University proposed a “Trajectory-Aware RL” framework—TraceRL in ...
9to5Google

Gemini 2.5 Deep Think scores competitive coding gold in ‘profound leap’ for abstract problem-solving

After a mathematics win in July, Gemini 2.5 Deep Think has now scored a gold-medal level performance in competitive coding.

CoreWeave Acquires OpenPipe to Enhance AI Agent Development Tools

CoreWeave’s acquisition of OpenPipe is expected to enhance its capabilities in the AI development space significantly. OpenPipe is best known for its open-source toolkit, the Agent Reinforcement ...
JSTOR Daily

Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example

Games can be easy to construct but difficult to solve due to current methods available for finding the Nash Equilibrium. This issue is one of many that face modern game theorists and those analysts ...
JSTOR Daily

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

Model-based reinforcement learning (MBRL) is believed to have much higher sample efficiency compared with model-free algorithms by learning a predictive model of the environment. However, the ...