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Differentiable Trust Region Layers for Deep Reinforcement Learning

Differentiable Trust Region Layers for Deep Reinforcement Learning

22 January 2021
Fabian Otto
P. Becker
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
    OffRL
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Papers citing "Differentiable Trust Region Layers for Deep Reinforcement Learning"

4 / 4 papers shown
Title
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies
Hanna Ziesche
Leonel Rozo
26
5
0
17 May 2023
Deep Black-Box Reinforcement Learning with Movement Primitives
Deep Black-Box Reinforcement Learning with Movement Primitives
Fabian Otto
Onur Celik
Hongyi Zhou
Hanna Ziesche
Ngo Anh Vien
Gerhard Neumann
OffRL
24
19
0
18 Oct 2022
A Unified Perspective on Natural Gradient Variational Inference with
  Gaussian Mixture Models
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
O. Arenz
Philipp Dahlinger
Zihan Ye
Michael Volpp
Gerhard Neumann
39
15
0
23 Sep 2022
Regret-Aware Black-Box Optimization with Natural Gradients,
  Trust-Regions and Entropy Control
Regret-Aware Black-Box Optimization with Natural Gradients, Trust-Regions and Entropy Control
Maximilian Hüttenrauch
Gerhard Neumann
11
1
0
24 May 2022
1