conftrace_

value iteration

162 papers

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Also known as

VI

Co-occurring keywords

reinforcement learning (4352) markov decision process (790) regret bound (1926) offline reinforcement learning (492) function approximation (319) dynamic programming (274) policy iteration (99) sample complexity (1169) model-based reinforcement learning (415) policy learning (702)

Papers

Provably (More) Sample-Efficient Offline RL with Options NIPS 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023
Multi-Agent congestion cost minimization with linear function approximations AISTATS 2023
Kernelized Reinforcement Learning with Order Optimal Regret Bounds NIPS 2023
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space AISTATS 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm ICML 2023
Replicable Reinforcement Learning NIPS 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path ICML 2023
CORL: Research-oriented Deep Offline Reinforcement Learning Library NIPS 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NIPS 2023
Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation ICML 2023
Optimistic Planning by Regularized Dynamic Programming ICML 2023
Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces AAAI 2023
Leveraging Offline Data in Online Reinforcement Learning ICML 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NIPS 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023
Robust Average-Reward Markov Decision Processes AAAI 2023
Corruption-robust Offline Reinforcement Learning AISTATS 2022
Implicitly Regularized RL with Implicit Q-values AISTATS 2022