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Found 4 papers, 1 papers with code
Boosting Visual Recognition for Autonomous Driving in Real-world Degradations with Deep Channel Prior
The environmental perception of autonomous vehicles in normal conditions have achieved considerable success in the past decade.
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
In this paper, we propose a second-order extension of the continuous-time game-theoretic mirror descent (MD) dynamics, referred to as MD2, which provably converges to mere (but not necessarily strict) variationally stable states (VSS) without using common auxiliary techniques such as time-averaging or discounting.
Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
In this paper, we consider concave continuous-kernel games characterized by monotonicity properties and propose discounted mirror descent-type dynamics.
On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning
In this paper, we utilize results from convex analysis and monotone operator theory to derive additional properties of the softmax function that have not yet been covered in the existing literature.
