conftrace_

policy iteration

99 papers

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Also known as

PI

Co-occurring keywords

reinforcement learning (4352) markov decision process (790) value function (295) value iteration (162) value function approximation (100) approximate dynamic programming (31) function approximation (319) deep reinforcement learning (903) dynamic programming (274) convergence analysis (395)

Papers

Reinforcement Learning for Control with Multiple Frequencies NIPS 2020
Projections for Approximate Policy Iteration Algorithms ICML 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
A Tighter Analysis of Randomised Policy Iteration UAI 2019
Learning from a Learner ICML 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019
Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction ICML 2019
A Theory of Regularized Markov Decision Processes ICML 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Fast Bellman Updates for Robust MDPs ICML 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018
Planning and Learning with Stochastic Action Sets IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning IJCAI 2018
Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017
Fake News Mitigation via Point Process Based Intervention ICML 2017
Reinforcement Learning under Model Mismatch NIPS 2017
Softened Approximate Policy Iteration for Markov Games ICML 2016
Regularized Policy Iteration with Nonparametric Function Spaces JMLR 2016
RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research JMLR 2015
Non-Stationary Approximate Modified Policy Iteration ICML 2015
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games ICML 2015
Construction of Approximation Spaces for Reinforcement Learning JMLR 2013