conftrace_

policy class

7 papers

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Co-occurring keywords

contextual bandit (381) regret bound (1926) online learning (1777) policy learning (702) sample complexity (1169) supervised learning guarantee (1) offline policy optimization (8) adversarial target (5) neural network (6616) pessimistic adjustment (2)

Papers

Importance-Weighted Offline Learning Done Right ALT 2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning NIPS 2024
When is Agnostic Reinforcement Learning Statistically Tractable? NIPS 2023
Online learning with dynamics: A minimax perspective NIPS 2020
Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits ICML 2016
Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011