conftrace_

markov decision process

790 papers

Explore in graph

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

Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NIPS 2023
Planning with Hidden Parameter Polynomial MDPs AAAI 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023
Inverse Reinforcement Learning with the Average Reward Criterion NIPS 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NIPS 2023
Bridging RL Theory and Practice with the Effective Horizon NIPS 2023
DiFA: Differentiable Feature Acquisition AAAI 2023
Offline Reinforcement Learning with Differential Privacy NIPS 2023
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples AAAI 2023
Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023
Residual Q-Learning: Offline and Online Policy Customization without Value NIPS 2023
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes NIPS 2023
Autonomous Exploration for Navigating in MDPs Using Blackbox RL Algorithms IJCAI 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor NIPS 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Principled Data-Driven Decision Support for Cyber-Forensic Investigations AAAI 2023
Model-Free Active Exploration in Reinforcement Learning NIPS 2023
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity JMLR 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023
Weakly Coupled Deep Q-Networks NIPS 2023
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions NIPS 2023