Evolved Policy Gradients

13 February 2018

Pieter Abbeel

Papers citing "Evolved Policy Gradients"

50 / 160 papers shown

Title
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 29 12 0 02 Jan 2022
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies Paul Vicol Luke Metz Jascha Narain Sohl-Dickstein 27 67 0 27 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning Yunhao Tang 6 7 0 14 Dec 2021
CoMPS: Continual Meta Policy Search Glen Berseth Zhiwei Zhang Grace Zhang Chelsea Finn Sergey Levine CLL OffRL 28 16 0 08 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance Michael Luo Ashwin Balakrishna Brijen Thananjeyan Suraj Nair Julian Ibarz Jie Tan Chelsea Finn Ion Stoica Ken Goldberg OffRL 30 4 0 07 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 21 18 0 02 Dec 2021
On the Practical Consistency of Meta-Reinforcement Learning Algorithms Zheng Xiong L. Zintgraf Jacob Beck Risto Vuorio Shimon Whiteson CLL AIFin 26 9 0 01 Dec 2021
Generating meta-learning tasks to evolve parametric loss for classification learning Zhaoyang Hai Xiabi Liu Yuchen Ren N. Q. Soomro 27 0 0 20 Nov 2021
Learning Provably Robust Motion Planners Using Funnel Libraries Alim Gurgen Anirudha Majumdar Sushant Veer OOD 17 2 0 16 Nov 2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Clément Bonnet Paul Caron Thomas D. Barrett Ian Davies Alexandre Laterre 14 6 0 30 Oct 2021
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning VS Vibashan Domenick Poster Suya You Shuowen Hu Vishal M. Patel AI4CE 24 30 0 07 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 60 54 0 28 Sep 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 20 30 0 22 Sep 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 43 97 0 12 Jul 2021
Behavior Self-Organization Supports Task Inference for Continual Robot Learning Muhammad Burhan Hafez S. Wermter CLL SSL 18 11 0 09 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Meta-Reinforcement Learning for Heuristic Planning Ricardo Luna Gutierrez Matteo Leonetti OffRL AIFin 16 4 0 06 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation Yunhao Tang Tadashi Kozuno Mark Rowland Rémi Munos Michal Valko OffRL 8 9 0 24 Jun 2021
Selecting for Selection: Learning To Balance Adaptive and Diversifying Pressures in Evolutionary Search Kevin Frans Lisa Soros Olaf Witkowski 8 0 0 16 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 21 1 0 04 Jun 2021
Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan Rosemary Nan Ke Anirudh Goyal Bernhard Schölkopf Yoshua Bengio OCL 32 40 0 18 May 2021
DACBench: A Benchmark Library for Dynamic Algorithm Configuration Theresa Eimer André Biedenkapp Maximilian V Reimer Steven Adriaensen Frank Hutter Marius Lindauer 14 28 0 18 May 2021
What is Going on Inside Recurrent Meta Reinforcement Learning Agents? Safa Alver Doina Precup AIFin 16 4 0 29 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 270 0 16 Apr 2021
Population-Based Evolution Optimizes a Meta-Learning Objective Kevin Frans Olaf Witkowski 25 5 0 11 Mar 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks Boyan Gao Henry Gouk Timothy M. Hospedales OOD NoLa 28 18 0 27 Feb 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality Tengyu Xu Zhuoran Yang Zhaoran Wang Yingbin Liang OffRL 39 24 0 23 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 20 42 0 10 Feb 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 46 73 0 08 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 51 56 0 29 Dec 2020
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 307 0 25 Dec 2020
Policy Gradient RL Algorithms as Directed Acyclic Graphs J. Luis 26 0 0 14 Dec 2020
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search Kyunghyun Lee Byeong-uk Lee Ukcheol Shin In So Kweon 19 22 0 10 Dec 2020
Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks Ye Hu Mingzhe Chen Walid Saad H. Vincent Poor Shuguang Cui 29 104 0 06 Dec 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning Ricardo Luna Gutierrez Matteo Leonetti 19 19 0 02 Nov 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models Tony Zhao Anusha Nagabandi Kate Rakelly Chelsea Finn Sergey Levine OffRL 32 36 0 26 Oct 2020
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments Zhi Wang Chunlin Chen D. Dong 6 12 0 09 Oct 2020
Learning Intrinsic Symbolic Rewards in Reinforcement Learning Hassam Sheikh Shauharda Khadka Santiago Miret Somdeb Majumdar OffRL 18 7 0 08 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 25 10 0 02 Oct 2020
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Risto Miikkulainen 24 5 0 02 Oct 2020
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning Chang-rui Liu Huichu Zhang Weinan Zhang Guanjie Zheng Yong Yu 11 42 0 17 Sep 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 33 103 0 13 Aug 2020
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices E. Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 17 66 0 06 Aug 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks Jun Shu Yanwen Zhu Qian Zhao Zongben Xu Deyu Meng 23 7 0 29 Jul 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
Discovering Reinforcement Learning Algorithms Junhyuk Oh Matteo Hessel Wojciech M. Czarnecki Zhongwen Xu H. V. Hasselt Satinder Singh David Silver 21 126 0 17 Jul 2020