conftrace_

regret minimization

315 papers

Explore in graph

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) regret bound (1926) stochastic optimization (1060) game theory (854) online algorithm (445) reinforcement learning (4352) markov decision process (790) nash equilibrium (398) extensive-form game (86)

Papers

Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models ICML 2022
Random Effect Bandits AISTATS 2022
Search-based Reinforcement Learning through Bandit Linear Optimization IJCAI 2022
Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization AAAI 2022
Safe Control with Minimal Regret L4DC 2022
A Survey of Risk-Aware Multi-Armed Bandits IJCAI 2022
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022
Fair Equilibria in Sponsored Search Auctions: The Advertisers’ Perspective IJCAI 2022
Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022
On Efficient Online Imitation Learning via Classification NIPS 2022
Branching Reinforcement Learning ICML 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints ICML 2022
Decision-Focused Learning: Through the Lens of Learning to Rank ICML 2022
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback NIPS 2022
Online Allocation and Learning in the Presence of Strategic Agents NIPS 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits AAAI 2022
Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent NIPS 2022
IMED-RL: Regret optimal learning of ergodic Markov decision processes NIPS 2022
Regret, stability & fairness in matching markets with bandit learners AISTATS 2022
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NIPS 2022
Instance-optimal PAC Algorithms for Contextual Bandits NIPS 2022