Deep Metric Tensor Regularized Policy Gradient

18 May 2023

Papers citing "Deep Metric Tensor Regularized Policy Gradient"

18 / 18 papers shown

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 153 13 0 03 Jan 2025
Generalized Proximal Policy Optimization with Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 138 50 0 29 Oct 2021
Learning Riemannian Manifolds for Geodesic Motion Skills Hadi Beik-Mohammadi Søren Hauberg Georgios Arvanitidis Gerhard Neumann Leonel Rozo 75 36 0 08 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 109 71 0 28 May 2021
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 108 111 0 20 Dec 2020
Learning Symbolic Expressions via Gumbel-Max Equation Learner Networks Gang Chen 33 8 0 12 Dec 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Chong Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 71 7 0 19 Oct 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 60 203 0 09 Jul 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 230 193 0 08 May 2020
PyHessian: Neural Networks Through the Lens of the Hessian Z. Yao A. Gholami Kurt Keutzer Michael W. Mahoney ODL 58 303 0 16 Dec 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks Zhen Dong Z. Yao Yaohui Cai Daiyaan Arfeen A. Gholami Michael W. Mahoney Kurt Keutzer MQ 91 280 0 10 Nov 2019
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent Frederik Kunstner Lukas Balles Philipp Hennig 79 217 0 29 May 2019
Fast Convergence of Natural Gradient Descent for Overparameterized Neural Networks Guodong Zhang James Martens Roger C. Grosse ODL 90 124 0 27 May 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 180 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 517 19,065 0 20 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 144 393 0 17 Jun 2015