Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions

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Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions

15 July 2020

Carlos A. Manzanares

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Papers citing "Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions"

19 / 19 papers shown

Title
Temporal Poisson Square Root Graphical Models Sinong Geng Zhaobin Kuang P. Peissig David Page 53 13 0 12 May 2020
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error Sinong Geng Zhaobin Kuang Jie Liu S. Wright David Page 32 13 0 12 May 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 43 27 0 11 Apr 2020
Learning Human Objectives by Evaluating Hypothetical Behavior S. Reddy Anca Dragan Sergey Levine Shane Legg Jan Leike 68 75 0 05 Dec 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 95 433 0 25 Oct 2019
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards S. Reddy Anca Dragan Sergey Levine OffRL 61 52 0 27 May 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 223 974 0 24 Jan 2019
A Theoretical Analysis of Deep Q-Learning Jianqing Fan Zhuoran Yang Yuchen Xie Zhaoran Wang 190 609 0 01 Jan 2019
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst Mayank Bansal A. Krizhevsky A. Ogale OOD 100 742 0 07 Dec 2018
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 124 420 0 19 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 231 1,136 0 09 Nov 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 100 259 0 09 Sep 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 131 757 0 30 Oct 2017
An Efficient Pseudo-likelihood Method for Sparse Binary Pairwise Markov Network Estimation Sinong Geng Zhaobin Kuang David Page 141 11 0 27 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 118 1,348 0 27 Feb 2017
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 165 3,125 0 10 Jun 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 952 0 01 Mar 2016
Maximum Entropy Deep Inverse Reinforcement Learning Markus Wulfmeier Peter Ondruska Ingmar Posner OOD 116 406 0 17 Jul 2015
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning Stéphane Ross Geoffrey J. Gordon J. Andrew Bagnell OffRL 259 3,238 0 02 Nov 2010