reward prediction

Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation AAAI 2026 P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist ACL 2026 Adapting image-based RL policies via predicted rewards L4DC 2024 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 Learning Successor Features the Simple Way NeurIPS 2024 Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024 Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 The Value of Reward Lookahead in Reinforcement Learning NeurIPS 2024 Federated Neural Bandits ICLR 2023 Learning robust representation for reinforcement learning with distractions by reward sequence prediction UAI 2023 Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests AAAI 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020 AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking ICLR 2019 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 Universal Value Function Approximators ICML 2015 Contextual Bandit Learning with Predictable Rewards AISTATS 2012 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008