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https://newsletter.artofsaience.com/ Gradient Ascent | Sairam Sundaresan | Substack Gradient Ascent is your weekly guide to AI, trusted by Silicon Valley's top tech firms and the best academic labs worldwide. Click to read Gradient Ascent, by... gradient ascent sairam sundaresan substack https://openreview.net/forum?id=TI7Vy90B9j&referrer=%5Bthe%20profile%20of%20Mitsuki%20Sakamoto%5D(%2Fprofile%3Fid%3D~Mitsuki_Sakamoto1) Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games | OpenReview This paper introduces a payoff perturbation technique, introducing a strong convexity to players' payoff functions in games. This technique is specifically... gradient ascent boosting https://observablehq.com/@mcmcclur/gradient-ascent?collection=@mcmcclur/teaching Gradient ascent / Mark McClure | Observable Feb 19, 2026 - Gradient ascent is a technique to find local maxima of multivariate functions. The basic idea is quite simple; from an initial starting point, simply march in... gradient ascent mark mcclure observable https://openreview.net/forum?id=Hbwh76xE8S&referrer=%5Bthe%20profile%20of%20Nneka%20Okolo%5D(%2Fprofile%3Fid%3D~Nneka_Okolo1) Offline RL via Feature-Occupancy Gradient Ascent | OpenReview We study offline Reinforcement Learning in large infinite-horizon discounted Markov Decision Processes (MDPs) when the reward and transition models are... gradient ascent offline rl via feature https://arxiv.org/abs/2505.13660 [2505.13660] Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence... Abstract page for arXiv paper 2505.13660: Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis gradient ascent https://deepai.org/publication/last-iterate-convergence-of-decentralized-optimistic-gradient-descent-ascent-in-infinite-horizon-competitive-markov-games Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon... Feb 8, 2021 - 02/08/21 - We study infinite-horizon discounted two-player zero-sum Markov games, and develop a decentralized algorithm that provably converg... https://openreview.net/forum?id=AWOSz_mMAPx Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation | OpenReview We study the role that a finite timescale separation parameter $\tau$ has on gradient descent-ascent in non-convex, non-concave zero-sum games where the... local convergence gradient descent https://jmlr.org/papers/v24/22-1518.html Zeroth-Order Alternating Gradient Descent Ascent Algorithms for A Class of Nonconvex-Nonconcave...