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

Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023
Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs ICML 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints ICML 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning AAAI 2023
Robust Satisficing MDPs ICML 2023
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023
Offline Reinforcement Learning with Differential Privacy NIPS 2023
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds ICML 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping AAAI 2023
GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning ACL 2023
Reward-Mixing MDPs with Few Latent Contexts are Learnable ICML 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023
Learning Mixtures of Markov Chains and MDPs ICML 2023
Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects AAAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Formally Verified Solution Methods for Markov Decision Processes AAAI 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023
Beyond Average Return in Markov Decision Processes NIPS 2023
Bridging RL Theory and Practice with the Effective Horizon NIPS 2023