Trust-Region Method with Deep Reinforcement Learning in Analog Design
Space Exploration

Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration

29 September 2020

Chen-Feng Chiang

Papers citing "Trust-Region Method with Deep Reinforcement Learning in Analog Design Space Exploration"

10 / 10 papers shown

Title
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 119 860 0 01 Mar 2019
Learning to Design Circuits Hanrui Wang Jiacheng Yang Hae-Seung Lee Song Han 64 93 0 05 Dec 2018
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 102 253 0 27 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 478 19,006 0 20 Jul 2017
Designing Neural Network Architectures using Reinforcement Learning Bowen Baker O. Gupta Nikhil Naik Ramesh Raskar 107 1,471 0 07 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 451 5,369 0 05 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 308 3,434 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,767 0 19 Feb 2015

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