Title
Language Conditioned Imitation Learning over Unstructured Data Corey Lynch P. Sermanet LM&Ro 90 251 0 15 May 2020
Simple Sensor Intentions for Exploration Tim Hertweck Martin Riedmiller Michael Bloesch Jost Tobias Springenberg Noah Y. Siegel Markus Wulfmeier Roland Hafner N. Heess 68 10 0 15 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 115 412 0 12 May 2020
TOMA: Topological Map Abstraction for Reinforcement Learning Zhao-Heng Yin Wu-Jun Li 37 2 0 11 May 2020
Curious Hierarchical Actor-Critic Reinforcement Learning Frank Röder Manfred Eppe Phuong D. H. Nguyen S. Wermter 64 21 0 07 May 2020
Adaptive Dialog Policy Learning with Hindsight and User Modeling Yan Cao Keting Lu Xiaoping Chen Shiqi Zhang 155 11 0 07 May 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 51 32 0 06 May 2020
Generalized Planning With Deep Reinforcement Learning Or Rivlin Tamir Hazan E. Karpas OffRL 55 48 0 05 May 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 165 661 0 30 Apr 2020
Improving Target-driven Visual Navigation with Attention on 3D Spatial Relationships Yunlian Lv Ning Xie Yimin Shi Zijiao Wang Jikang Cheng 34 0 0 29 Apr 2020
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels Ilya Kostrikov Denis Yarats Rob Fergus OffRL 180 794 0 28 Apr 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 106 365 0 27 Apr 2020
Evolutionary Stochastic Policy Distillation Hao Sun Xinyu Pan Bo Dai Dahua Lin Bolei Zhou 59 1 0 27 Apr 2020
Self-Paced Deep Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen ODL 83 54 0 24 Apr 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning Giambattista Parascandolo Lars Buesing J. Merel Leonard Hasenclever John Aslanides Jessica B. Hamrick N. Heess Alexander Neitz T. Weber 60 31 0 23 Apr 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 36 6 0 22 Apr 2020
AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning Keting Lu Shiqi Zhang Xiaoping Chen OffRL OnRL 44 3 0 22 Apr 2020
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion Aditi Mavalankar OffRL 59 7 0 17 Apr 2020
Reinforcement Learning in a Physics-Inspired Semi-Markov Environment C. Bellinger Rory Coles Mark Crowley Isaac Tamblyn OOD 21 2 0 15 Apr 2020
Learning visual policies for building 3D shape categories Alexander Pashevich Igor Kalevatykh Ivan Laptev Cordelia Schmid 58 3 0 15 Apr 2020
Self Punishment and Reward Backfill for Deep Q-Learning M. Bonyadi Rui Wang M. Ziaei 22 5 0 10 Apr 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 91 26 0 06 Apr 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 95 20 0 29 Mar 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels Chris Bamford Simon Lucas OCL 37 13 0 23 Mar 2020
Deep Sets for Generalization in RL Tristan Karch Cédric Colas Laetitia Teodorescu Clément Moulin-Frier Pierre-Yves Oudeyer OffRL AI4CE 51 6 0 20 Mar 2020
Active Perception and Representation for Robotic Manipulation Youssef Y. Zaky Gaurav Paruthi B. Tripp James Bergstra 86 16 0 15 Mar 2020
Sparse Graphical Memory for Robust Planning Scott Emmons Ajay Jain Michael Laskin Thanard Kurutach Pieter Abbeel Deepak Pathak 88 50 0 13 Mar 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 246 486 0 10 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 114 176 0 10 Mar 2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty Yongle Luo Kun Dong Lili Zhao Zhiyong Sun Chao Zhou Bo Song 102 13 0 05 Mar 2020
Dynamic Experience Replay Jieliang Luo Hui Li 215 24 0 04 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 74 13 0 03 Mar 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning Kara Liu Thanard Kurutach Christine Tung Pieter Abbeel Aviv Tamar 87 48 0 27 Feb 2020
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning Tom Jurgenson Or Avner E. Groshev Aviv Tamar 81 41 0 27 Feb 2020
Autonomous robotic nanofabrication with reinforcement learning Philipp Leinen Malte Esders Kristof T. Schütt C. Wagner K. Müller F. Tautz 39 55 0 27 Feb 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 166 4 0 27 Feb 2020
Generalized Hindsight for Reinforcement Learning Alexander C. Li Lerrel Pinto Pieter Abbeel 67 70 0 26 Feb 2020
Scalable Multi-Task Imitation Learning with Autonomous Improvement Avi Singh Eric Jang A. Irpan Daniel Kappler Murtaza Dalal Sergey Levine Mohi Khansari Chelsea Finn 106 34 0 25 Feb 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement Benjamin Eysenbach Xinyang Geng Sergey Levine Ruslan Salakhutdinov OffRL 73 87 0 25 Feb 2020
Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation Yige Xu Xipeng Qiu L. Zhou Xuanjing Huang 83 67 0 24 Feb 2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients Ashley D. Edwards Himanshu Sahni Rosanne Liu Jane Hung Ankit Jain Rui Wang Adrien Ecoffet Thomas Miconi Charles Isbell J. Yosinski OffRL 48 18 0 21 Feb 2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration Cédric Colas Tristan Karch Nicolas Lair Jean-Michel Dussoux Clément Moulin-Frier Peter Ford Dominey Pierre-Yves Oudeyer LM&Ro LLMAG LRM 73 124 0 21 Feb 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 68 9 0 21 Feb 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 95 174 0 20 Feb 2020
Value-driven Hindsight Modelling A. Guez Fabio Viola T. Weber Lars Buesing Steven Kapturowski Doina Precup David Silver N. Heess OffRL 83 12 0 19 Feb 2020
Generating Automatic Curricula via Self-Supervised Active Domain Randomization Sharath Chandra Raparthy Bhairav Mehta Florian Golemo Liam Paull 87 8 0 18 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 88 13 0 15 Feb 2020
Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning Sammy Christen Lukás Jendele Emre Aksan Otmar Hilliges OffRL 78 25 0 14 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 48 4 0 13 Feb 2020
XCS Classifier System with Experience Replay Anthony Stein Roland Maier Lukas Rosenbauer J. Hähner BDL 35 21 0 13 Feb 2020