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The Geometry of Memoryless Stochastic Policy Optimization in
  Infinite-Horizon POMDPs

The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs

14 October 2021
Johannes Muller
Guido Montúfar
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Papers citing "The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs"

5 / 5 papers shown
Title
On shallow planning under partial observability
On shallow planning under partial observability
Randy Lefebvre
Audrey Durand
OffRL
28
0
0
22 Jul 2024
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes
Johannes Muller
Semih Cayci
34
0
0
06 Jun 2024
Geometry and convergence of natural policy gradient methods
Geometry and convergence of natural policy gradient methods
Johannes Muller
Guido Montúfar
14
10
0
03 Nov 2022
Geometric Policy Iteration for Markov Decision Processes
Geometric Policy Iteration for Markov Decision Processes
Yue Wu
J. D. Loera
10
3
0
12 Jun 2022
Solving infinite-horizon POMDPs with memoryless stochastic policies in
  state-action space
Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space
Johannes Muller
Guido Montúfar
11
2
0
27 May 2022
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