action-value function

A Model-Free Universal AI UAI 2026 Cardiverse: Harnessing LLMs for Novel Card Game Prototyping EMNLP 2025 Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents ICLR 2025 Augmented Bayesian Policy Search ICLR 2024 EMOTE: An Explainable Architecture for Modelling the Other through Empathy IJCAI 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 LOQA: Learning with Opponent Q-Learning Awareness ICLR 2024 Operator World Models for Reinforcement Learning NeurIPS 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 Q-value Regularized Transformer for Offline Reinforcement Learning ICML 2024 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning ICLR 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Online RL in Linearly q^π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore NeurIPS 2023 State-Action Similarity-Based Representations for Off-Policy Evaluation NeurIPS 2023 Boosted Curriculum Reinforcement Learning ICLR 2022 Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022 Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022 Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions ALT 2021 Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning AAAI 2021 Offline Contextual Bandits with Overparameterized Models ICML 2021 Policy Caches with Successor Features ICML 2021 Transfer Learning for Efficient Iterative Safety Validation AAAI 2021 Deep Inverse Q-learning with Constraints NeurIPS 2020