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bellman error

27 papers

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Co-occurring keywords

reinforcement learning (4352) value function approximation (100) offline reinforcement learning (492) value function (295) function approximation (319) neural network (6616) markov decision process (790) policy learning (702) policy evaluation (115) temporal difference learning (149)

Papers

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning NIPS 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
Toward Efficient Gradient-Based Value Estimation ICML 2023
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023
Bi-Level Offline Policy Optimization with Limited Exploration NIPS 2023
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error ICML 2022
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning JMLR 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning NIPS 2022
On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NIPS 2022
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection NIPS 2021
Logistic Q-Learning AISTATS 2021
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix L4DC 2021
Provably Efficient Neural GTD for Off-Policy Learning NIPS 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NIPS 2020
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020
Learning Near Optimal Policies with Low Inherent Bellman Error ICML 2020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation ICML 2020
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
Basis refinement strategies for linear value function approximation in MDPs NIPS 2015
Learning from Limited Demonstrations NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013