conftrace_

markov decision process

790 papers

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Also known as

MDP

Co-occurring keywords

reinforcement learning (4352) regret bound (1926) sample complexity (1169) policy optimization (657) value iteration (162) online learning (1777) function approximation (319) optimal policy (93) deep reinforcement learning (903) value function (295)

Papers

DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs AAAI 2026
Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning AAAI 2026
Policy Newton Methods for Distortion Riskmetrics AAAI 2026
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning AAAI 2026
Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem AAAI 2026
A Differential Perspective on Distributional Reinforcement Learning AAAI 2026
Optimizing Urban Service Allocation with Time-Constrained Restless Bandits AAAI 2026
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning AAAI 2026
Qualitative Analysis of ω-Regular Objectives on Robust MDPs AAAI 2026
Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026
NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks ACL 2026
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training ACL 2026
Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking AAAI 2026
Best-Effort Policies for Robust Markov Decision Processes AAAI 2026
Top-Down Semantic Refinement for Image Captioning AAAI 2026
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026
Inferring Implicit Goals Across Differing Task Models AAAI 2026
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs EMNLP 2025
Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL JMLR 2025
SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025
Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025
Statistical field theory for Markov decision processes under uncertainty JMLR 2025
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025
Categorical Semantics of Compositional Reinforcement Learning JMLR 2025
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025