conftrace_

value iteration

162 papers

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VI

Co-occurring keywords

reinforcement learning (4352) markov decision process (790) regret bound (1926) offline reinforcement learning (492) function approximation (319) dynamic programming (274) policy iteration (99) sample complexity (1169) model-based reinforcement learning (415) policy learning (702)

Papers

A Differential Perspective on Distributional Reinforcement Learning AAAI 2026
Distributionally Robust Online Markov Game with Linear Function Approximation AAAI 2026
Best-Effort Policies for Robust Markov Decision Processes AAAI 2026
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search AAAI 2026
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025
Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025
Reward Adaptation via Q-Manipulation: Provably Beneficial Reward Function Transfer in Reinforcement Learning IJCAI 2025
Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions AAAI 2025
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024
Truncated Variance Reduced Value Iteration NIPS 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024
Parameterized Projected Bellman Operator AAAI 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NIPS 2024
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024
Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023