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pessimistic optimization

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Co-occurring keywords · papers mentioning both

offline reinforcement learning (3) contextual bandit (2) distribution shift (2) q-value function (1) pessimistic estimation (1) concentration bound (1) dual gradient ascent (1) offline policy learning (1) neural network function approximation (1) network simulation (1)

Papers

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation NeurIPS 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization ICLR 2022 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NeurIPS 2021