conftrace_

value function

367 papers

Explore in graph

Also known as

V FUNCTION

Co-occurring keywords · papers mentioning both

reinforcement learning (122) deep reinforcement learning (46) offline reinforcement learning (41) policy optimization (37) temporal difference learning (36) markov decision process (36) sample efficiency (29) model-based reinforcement learning (28) policy learning (23) off-policy learning (22)

Papers

An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 Evolutionary Guided Decoding: Iterative Value Refinement for LLMs ACL 2026 How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints L4DC 2026 Neural Value Iteration UAI 2026 Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint) AAAI 2026 Actor-Critic learning for mean-field control in continuous time JMLR 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning AISTATS 2025 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Bootstrapped Model Predictive Control ICLR 2025 Bootstrapped Reward Shaping AAAI 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search ICLR 2025 Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation UAI 2025 COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping CoRL 2025 Concurrent Planning and Execution Using Dispatch-Dependent Values IJCAI 2025 Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator L4DC 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data ICLR 2025 Erasing Undesirable Influence in Diffusion Models CVPR 2025 Generalizable Motion Planning via Operator Learning ICLR 2025 Group-Agent Reinforcement Learning with Heterogeneous Agents UAI 2025 In-Context Reinforcement Learning From Suboptimal Historical Data ICML 2025 Learning to Search from Demonstration Sequences ICLR 2025 Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control L4DC 2025 Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games L4DC 2025 MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL ICLR 2025