Continuous control with deep reinforcement learning

Keywords

Reinforcement learning, Computer science, Domain (mathematical analysis), Artificial intelligence, Action (physics)

References

• Playing Atari with Deep Reinforcement LearningVolodymyr Mnih, Koray Kavukcuoglu, David Silver — 2013
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• Human-level control through deep reinforcement learningVolodymyr Mnih, Koray Kavukcuoglu, David Silver — 2015
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• Actor-Critic Reinforcement Learning with Energy-Based PoliciesNicolas Heess, David Silver, Yee Whye Teh — 2012
• End-to-end training of deep visuomotor policiesSergey Levine, Chelsea Finn, Trevor Darrell — 2016

Cited by

• PLATO: Policy learning using adaptive trajectory optimizationGregory Kahn, Tianhao Zhang, Sergey Levine — 2016
• Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collectionSergey Levine, Peter Pástor, Alex Krizhevsky — 2016
• Towards Deep Developmental LearningOlivier Sigaud, Alain Droniou — 2016
• Learning in constrained stochastic dynamic potential gamesSergio Valcárcel Macua, Santiago Zazo, Javier Zazo — 2016
• Looking at Humans in the Age of Self-Driving and Highly Automated VehiclesEshed Ohn-Bar, Mohan M. Trivedi — 2016
• Vision-based behavior for UAV reactive avoidance by using a reinforcement learning methodZhaowei Ma, Niu Yifeng, Shen Lincheng — 2016
• Deep reinforcement learning for tensegrity robot locomotionMarvin Zhang, Xinyang Geng, Jonathan Bruce — 2016
• Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial statesWilliam Montgomery, Anurag Ajay, Chelsea Finn — 2016
• Path integral guided policy searchYevgen Chebotar, Mrinal Kalakrishnan, Ali Abdullah Yahya — 2016
• Collective robot reinforcement learning with distributed asynchronous guided policy searchAli Abdullah Yahya, Adrian Li, Mrinal Kalakrishnan — 2016
• Improved deep reinforcement learning for robotics through distribution-based experience retentionTim de Bruin, Jens Kober, Karl Tuyls — 2016
• A general adaptive dynamic programming approach with experience replayBin Wang, Dongbin Zhao, Jin Cheng — 2016
• Convolutional fitted Q iteration for vision-based control problemsDongbin Zhao, Yuanheng Zhu, Le Lv — 2016
• Bayesian Optimization with Robust Bayesian Neural NetworksJost Tobias Springenberg, Aaron Klein, Stefan Falkner — 2016
• Nonparametric General Reinforcement LearningJan Leike — 2016
• Learning control policy for parcel singulationWoojin Kim, Ki Hak Kim, Daesub Yoon — 2016
• Approximate Newton Methods for Policy Search in Markov Decision ProcessesThomas Furmston, Guy Lever, David Barber — 2016
• The Predictron: End-To-End Learning and PlanningDavid Silver, Hado van Hasselt, Matteo Hessel — 2016
• Stable reinforcement learning with autoencoders for tactile and visual dataHerke van Hoof, Nutan Chen, Maximilian Karl — 2016
• Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement LearningRongxin Cui, Chenguang Yang, Yang Li — 2017

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