markov decision process

ReproHum #0729-04: Human Evaluation Reproduction Report for “MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes” ACL 2025 Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025 Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025 RLAE: Reinforcement Learning-Assisted Ensemble for LLMs EMNLP 2025 Robust Control of Uncertain Switched Affine Systems via Scenario Optimization L4DC 2025 Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation L4DC 2025 Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025 Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories CVPR 2025 Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning ICLR 2025 Situational-Constrained Sequential Resources Allocation via Reinforcement Learning IJCAI 2025 Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives IJCAI 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin EMNLP 2025 Statistical field theory for Markov decision processes under uncertainty JMLR 2025 Steady-State Strategy Synthesis for Swarms of Autonomous Agents IJCAI 2025 Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach IJCAI 2025 Symbiotic Local Search for Small Decision Tree Policies in MDPs UAI 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise JMLR 2025 TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data SemEval 2025 Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation AAAI 2025 Zero-shot Model-based Reinforcement Learning using Large Language Models ICLR 2025 Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning ICLR 2024