conftrace_

adversarial environment

16 papers

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Co-occurring keywords

regret bound (1926) online learning (1777) stochastic environment (30) multi-armed bandit (1098) linear bandit (124) adversarial training (1262) curriculum learning (633) reinforcement learning (4352) gui agent (39) environmental distraction (1)

Papers

Do Persona-Infused LLMs Affect Performance in a Strategic Reasoning Game? AACL 2025
Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions ACL 2025
Adversarial Environment Design via Regret-Guided Diffusion Models NIPS 2024
Online Composite Optimization Between Stochastic and Adversarial Environments NIPS 2024
Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds COLT 2023
Online Nonstochastic Model-Free Reinforcement Learning NIPS 2023
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits NIPS 2023
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NIPS 2022
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning ICML 2022
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs NIPS 2022
Synthesizing strategies under expected and exceptional environment behaviors IJCAI 2020
Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound WACV 2020
Multi-Player Bandits: The Adversarial Case JMLR 2020
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously ICML 2019
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments AISTATS 2018
Robotic Strategic Behavior in Adversarial Environments IJCAI 2017