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

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint) AAAI 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization AAAI 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies AISTATS 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs AAAI 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs COLT 2024
Measuring Goal-Directedness NIPS 2024
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes EMNLP 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes AISTATS 2024
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024
Graph Contrastive Learning with Reinforcement Augmentation IJCAI 2024
Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024
Policy Optimization for Robust Average Reward MDPs NIPS 2024
Robust Active Measuring under Model Uncertainty AAAI 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Settling the sample complexity of online reinforcement learning COLT 2024
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024
Feasible $Q$-Learning for Average Reward Reinforcement Learning AISTATS 2024
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances L4DC 2024
An investigation of time reversal symmetry in reinforcement learning L4DC 2024
Learning robust policies for uncertain parametric Markov decision processes L4DC 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles AAAI 2024
Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024
Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024