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

Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision EMNLP 2025
Probabilistic Shielding for Safe Reinforcement Learning AAAI 2025
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025
The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts ACL 2025
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning EMNLP 2025
Optimising Spatial Teamwork Under Uncertainty AAAI 2025
Agent-based Modeling for Policy-Making in Inequity Contexts IJCAI 2025
Efficient Dynamic Ensembling for Multiple LLM Experts IJCAI 2025
A Primal-dual Perspective for Distributed TD-learning IJCAI 2025
Counterfactual Strategies for Markov Decision Processes IJCAI 2025
Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025
MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs ICCV 2025
Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025
No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks IJCAI 2025
AoI-MDP: An AoI Optimized Markov Decision Process Dedicated in the Underwater Task (Student Abstract) AAAI 2025
Steady-State Strategy Synthesis for Swarms of Autonomous Agents IJCAI 2025
TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data ACL 2025
Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025
Solving MDPs with LTLf+ and PPLTL+ Temporal Objectives IJCAI 2025
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach IJCAI 2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning AAAI 2025
Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025
Risk-averse Total-reward MDPs with ERM and EVaR AAAI 2025
Multiple Mean-Payoff Optimization Under Local Stability Constraints AAAI 2025