Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

Papers citing "Addressing Function Approximation Error in Actor-Critic Methods"

33 / 833 papers shown

Title
Is the Policy Gradient a Gradient? Chris Nota Philip S. Thomas 8 57 0 17 Jun 2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning Yufei Wang Ziju Shen Zichao Long Bin Dong AI4CE PINN 13 40 0 27 May 2019
Composing Task-Agnostic Policies with Deep Reinforcement Learning A. H. Qureshi Jacob J. Johnson Yuzhe Qin Taylor Henderson Byron Boots Michael C. Yip OffRL 22 30 0 25 May 2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning Brian Yang Jesse Zhang Vitchyr H. Pong Sergey Levine Dinesh Jayaraman 27 37 0 17 May 2019
P3O: Policy-on Policy-off Policy Optimization Rasool Fakoor Pratik Chaudhari Alex Smola OffRL 29 51 0 05 May 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion M. Sarmad H. J. Lee Y. Kim 3DPC 26 180 0 28 Apr 2019
Model-free Deep Reinforcement Learning for Urban Autonomous Driving Jianyu Chen Bodi Yuan Masayoshi Tomizuka 30 262 0 20 Apr 2019
Active Domain Randomization Bhairav Mehta Manfred Diaz Florian Golemo C. Pal Liam Paull 24 257 0 09 Apr 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 44 28 0 25 Mar 2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning Keita Ota Devesh K. Jha Tomoaki Oiki Mamoru Miura Takashi Nammoto D. Nikovski T. Mariyama 33 26 0 13 Mar 2019
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher Hélène Plisnier D. Roijers A. Nowé OffRL 26 17 0 11 Mar 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr H. Pong Murtaza Dalal Steven Lin Ashvin Nair Shikhar Bahl Sergey Levine OffRL SSL 36 269 0 08 Mar 2019
The AI Driving Olympics at NeurIPS 2018 J. Zilly J. Tani Breandan Considine Bhairav Mehta Andrea F. Daniele ... R. Hristov S. Mallya Emilio Frazzoli A. Censi Liam Paull 21 14 0 06 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 0 26 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 118 0 29 Jan 2019
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
TD-Regularized Actor-Critic Methods Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan OffRL 30 32 0 19 Dec 2018
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 30 409 0 07 Dec 2018
PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Qihao Liu Yujia Wang Xiao-Fei Liu 25 8 0 26 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 38 54 0 03 Nov 2018
Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 84 129 0 16 Oct 2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas Pierre Fournier Olivier Sigaud Mohamed Chetouani Pierre-Yves Oudeyer 33 39 0 15 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 45 551 0 12 Oct 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 32 160 0 02 Oct 2018
SmartChoices: Hybridizing Programming and Machine Learning Victor Carbune Thierry Coppey A. Daryin Thomas Deselaers Nikhil Sarda J. Yagnik 24 2 0 01 Oct 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 35 256 0 09 Sep 2018
Visual Reinforcement Learning with Imagined Goals Ashvin Nair Vitchyr H. Pong Murtaza Dalal Shikhar Bahl Steven Lin Sergey Levine SSL 40 535 0 12 Jul 2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation J. Matas Stephen James Andrew J. Davison AI4CE 29 355 0 20 Jun 2018
Learning Self-Imitating Diverse Policies Tanmay Gangwani Qiang Liu Jian Peng 27 65 0 25 May 2018
Data-Efficient Hierarchical Reinforcement Learning Ofir Nachum S. Gu Honglak Lee Sergey Levine OffRL 68 797 0 21 May 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Expected Policy Gradients for Reinforcement Learning K. Ciosek Shimon Whiteson 50 51 0 10 Jan 2018