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Addressing Function Approximation Error in Actor-Critic Methods

26 February 2018

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

50 / 2,180 papers shown

Title
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models Yuchen Wu Melissa Mozifian Florian Shkurti 84 21 0 02 Nov 2020
Observation Space Matters: Benchmark and Optimization Algorithm J. Kim Sehoon Ha OOD OffRL 49 11 0 02 Nov 2020
APPLR: Adaptive Planner Parameter Learning from Reinforcement Zifan Xu Gauraang Dhamankar Anirudh Nair Xuesu Xiao Garrett A. Warnell Bo Liu Zizhao Wang Peter Stone 83 55 0 01 Nov 2020
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RL Eugene Vinitsky Nathan Lichtlé Kanaad Parvate Alexandre M. Bayen 37 12 0 30 Oct 2020
Learning Vision-based Reactive Policies for Obstacle Avoidance Elie Aljalbout Ji Chen Konstantin Ritt Maximilian Ulmer Sami Haddadin 44 21 0 30 Oct 2020
Abstract Value Iteration for Hierarchical Reinforcement Learning Kishor Jothimurugan Osbert Bastani Rajeev Alur 51 23 0 29 Oct 2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles Tim Seyde Wilko Schwarting S. Karaman Daniela Rus 97 14 0 27 Oct 2020
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls Jeongho Kim Jaeuk Shin Insoon Yang 61 35 0 27 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Kai Ploeger M. Lutter Jan Peters 67 29 0 26 Oct 2020
How to Make Deep RL Work in Practice Nirnai Rao Elie Aljalbout Axel Sauer Sami Haddadin OffRL 133 11 0 25 Oct 2020
Planning with Exploration: Addressing Dynamics Bottleneck in Model-based Reinforcement Learning Xiyao Wang Junge Zhang Wenzhen Huang Qiyue Yin 25 0 0 24 Oct 2020
Learning Guidance Rewards with Trajectory-space Smoothing Tanmay Gangwani Yuanshuo Zhou Jian Peng 67 36 0 23 Oct 2020
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments Jun Yamada Youngwoon Lee G. Salhotra Karl Pertsch Max Pflueger Gaurav Sukhatme Joseph J. Lim Péter Englert 76 44 0 22 Oct 2020
Deep Surrogate Q-Learning for Autonomous Driving M. Kalweit Gabriel Kalweit M. Werling Joschka Boedecker OffRL 43 6 0 21 Oct 2020
Logistic Q-Learning Joan Bas-Serrano Sebastian Curi Andreas Krause Gergely Neu 105 40 0 21 Oct 2020
Iterative Amortized Policy Optimization Joseph Marino Alexandre Piché Alessandro Davide Ialongo Yisong Yue OffRL 117 21 0 20 Oct 2020
Proximal Policy Gradient: PPO with Policy Gradient Ju-Seung Byun Byungmoon Kim Huamin Wang OffRL 36 8 0 20 Oct 2020
Dream and Search to Control: Latent Space Planning for Continuous Control Anurag Koul Varun V. Kumar Alan Fern Somdeb Majumdar 85 6 0 19 Oct 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control Guangzhi Tang Neelesh Kumar Raymond Yoo Konstantinos Michmizos 120 77 0 19 Oct 2020
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator Hongyao Tang Zhaopeng Meng Jianye Hao Chong Chen D. Graves ... Hangyu Mao Wulong Liu Yaodong Yang Wenyuan Tao Li Wang OffRL 71 7 0 19 Oct 2020
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 118 92 0 19 Oct 2020
D2RL: Deep Dense Architectures in Reinforcement Learning Samarth Sinha Homanga Bharadhwaj A. Srinivas Animesh Garg OffRL AI4CE 122 56 0 19 Oct 2020
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning C. de Souza Rhys Newbury Akansel Cosgun P. Castillo B. Vidolov Dana Kulić 96 92 0 16 Oct 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control Zhiyuan Xu Kun Wu Zhengping Che Jian Tang Jieping Ye CLL OffRL 92 49 0 15 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels J. E. Grigsby Yanjun Qi 43 25 0 13 Oct 2020
Learning to Locomote: Understanding How Environment Design Matters for Deep Reinforcement Learning Daniele Reda Tianxin Tao M. van de Panne AI4CE 96 53 0 09 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 107 123 0 08 Oct 2020
Maximum Reward Formulation In Reinforcement Learning S. Gottipati Yashaswi Pathak Rohan Nuttall Sahir Raviteja Chunduru Ahmed Touati Sriram Ganapathi Subramanian Matthew E. Taylor Sarath Chandar 113 14 0 08 Oct 2020
Regularized Inverse Reinforcement Learning Wonseok Jeon Chen-Yang Su Paul Barde T. Doan Derek Nowrouzezahrai Joelle Pineau 66 12 0 07 Oct 2020
Reinforcement Learning with Random Delays Simon Ramstedt Yann Bouteiller Giovanni Beltrame C. Pal Jonathan Binas 224 61 0 06 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control Vitaly Kurin Maximilian Igl Tim Rocktaschel Wendelin Boehmer Shimon Whiteson AI4CE 102 92 0 05 Oct 2020
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning Honghao Wei Lei Ying 52 7 0 04 Oct 2020
A Deeper Look at Discounting Mismatch in Actor-Critic Algorithms Shangtong Zhang Romain Laroche H. V. Seijen Shimon Whiteson Rémi Tachet des Combes 120 15 0 02 Oct 2020
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds Lirui Wang Yu Xiang Wei Yang Arsalan Mousavian Dieter Fox 3DPC 91 47 0 02 Oct 2020
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation Lei He Nabil Aouf Bifeng Song 58 11 0 30 Sep 2020
Cross Learning in Deep Q-Networks Xing Wang A. Vinel 25 2 0 29 Sep 2020
Deep Reinforcement Learning for Process Synthesis Laurence Illing Midgley 32 10 0 23 Sep 2020
Learning Task-Agnostic Action Spaces for Movement Optimization Amin Babadi M. van de Panne Caren Liu Perttu Hämäläinen 44 2 0 22 Sep 2020
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion Xingye Da Zhaoming Xie David Hoeller Byron Boots Anima Anandkumar Yuke Zhu Buck Babich Animesh Garg 106 58 0 21 Sep 2020
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning Junjie Wang Qichao Zhang Dongbin Zhao Mengchen Zhao Jianye Hao OffRL 55 5 0 21 Sep 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 37 7 0 20 Sep 2020
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 85 24 0 18 Sep 2020
AI and Wargaming J. Goodman S. Risi Simon Lucas VLM 113 14 0 18 Sep 2020
Efficient Reinforcement Learning Development with RLzoo Zihan Ding Tianyang Yu Yanhua Huang Hongming Zhang Guo Li Quancheng Guo Kai Zou Hao Dong OffRL OnRL 32 6 0 18 Sep 2020
A Contraction Approach to Model-based Reinforcement Learning Ting-Han Fan Peter J. Ramadge OffRL 52 1 0 18 Sep 2020
Competitiveness of MAP-Elites against Proximal Policy Optimization on locomotion tasks in deterministic simulations Szymon Brych Antoine Cully 67 4 0 17 Sep 2020
Elastica: A compliant mechanics environment for soft robotic control Noel M. Naughton Jiarui Sun Arman Tekinalp Girish Chowdhary M. Gazzola 46 89 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 40 1 0 16 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 123 602 0 16 Sep 2020