Leveraging exploration in off-policy algorithms via normalizing flows

Leveraging exploration in off-policy algorithms via normalizing flows

16 May 2019

Papers citing "Leveraging exploration in off-policy algorithms via normalizing flows"

14 / 14 papers shown

Title
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 51 3 0 02 May 2024
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 25 21 0 05 Dec 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan Alex Schwing Yu-xiong Wang OffRL 30 2 0 18 Oct 2022
Efficiently Learning Small Policies for Locomotion and Manipulation Shashank Hegde Gaurav Sukhatme 40 3 0 30 Sep 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater 46 17 0 08 Jun 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 36 4 0 05 Jun 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 61 19 0 23 May 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
Transflower: probabilistic autoregressive dance generation with multimodal attention Guillermo Valle Pérez G. Henter Jonas Beskow A. Holzapfel Pierre-Yves Oudeyer Simon Alexanderson 41 43 0 25 Jun 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 23 2 0 26 Mar 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces Bogdan Mazoure T. Doan Tianyu Li V. Makarenkov Joelle Pineau Doina Precup Guillaume Rabusseau OffRL 21 1 0 07 Feb 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 25 52 0 23 Dec 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015