conftrace_

stationary distribution

35 papers

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Co-occurring keywords

markov chain (207) reinforcement learning (4352) markov decision process (790) off-policy evaluation (144) mixing time (70) offline reinforcement learning (492) importance sampling (318) policy optimization (657) value function (295) function approximation (319)

Papers

Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NIPS 2024
Sampling from the Mean-Field Stationary Distribution COLT 2024
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NIPS 2023
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent NIPS 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NIPS 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023
Finding Safe Zones of Markov Decision Processes Policies NIPS 2023
Perfect Sampling from Pairwise Comparisons NIPS 2022
Identity Testing of Reversible Markov Chains AISTATS 2022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning ICML 2022
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NIPS 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Reward is enough for convex MDPs NIPS 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent ICML 2021
Off-Policy Evaluation via the Regularized Lagrangian NIPS 2020
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NIPS 2020
Steady-State Policy Synthesis in Multichain Markov Decision Processes IJCAI 2020
Batch Stationary Distribution Estimation ICML 2020