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policy iteration

99 papers

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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

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs AISTATS 2021
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach JMLR 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021
Off-Belief Learning ICML 2021
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees ICML 2021
Learning and Planning in Complex Action Spaces ICML 2021
Twice regularized MDPs and the equivalence between robustness and regularization NIPS 2021
Approximate Midpoint Policy Iteration for Linear Quadratic Control L4DC 2021
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NIPS 2021
Adaptive Approximate Policy Iteration AISTATS 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing NIPS 2020
Deep Conservative Policy Iteration AAAI 2020
Multi-step Greedy Reinforcement Learning Algorithms ICML 2020
An operator view of policy gradient methods NIPS 2020
Structured Policy Iteration for Linear Quadratic Regulator ICML 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems CORL 2020
Learning Dexterous Manipulation from Suboptimal Experts CORL 2020
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020
Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence L4DC 2020