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value estimation

56 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (20) offline reinforcement learning (10) deep reinforcement learning (10) temporal difference learning (7) continuous control (6) policy learning (6) model-based reinforcement learning (5) monte carlo tree search (4) off-policy learning (4) value iteration (4)

Papers

Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features JMLR 2026 Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making L4DC 2026 Conservative Offline Goal-Conditioned Implicit V-Learning ICML 2025 Imagination-Limited Q-Learning for Offline Reinforcement Learning IJCAI 2025 Improving Value Estimation Critically Enhances Vanilla Policy Gradient ICML 2025 Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning ICLR 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning ICML 2025 Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization ICLR 2025 WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning L4DC 2025 Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NeurIPS 2024 Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NeurIPS 2024 Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024 On task-relevant loss functions in meta-reinforcement learning L4DC 2024 The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NeurIPS 2024 Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration NeurIPS 2023 Adaptive Estimation Q-learning with Uncertainty and Familiarity IJCAI 2023 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 Conservative State Value Estimation for Offline Reinforcement Learning NeurIPS 2023 Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NeurIPS 2023 Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation ICCV 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NeurIPS 2023 Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract) AAAI 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 Planning and Learning with Adaptive Lookahead AAAI 2023 Quantile Credit Assignment ICML 2023