Title
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 20 69 0 21 Jun 2021
Cat-like Jumping and Landing of Legged Robots in Low-gravity Using Deep Reinforcement Learning Nikita Rudin H. Kolvenbach Vassilios Tsounis Marco Hutter 22 84 0 17 Jun 2021
DeepWalk: Omnidirectional Bipedal Gait by Deep Reinforcement Learning Diego Rodriguez Sven Behnke 22 47 0 01 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 129 0 25 May 2021
Learning and Exploring Motor Skills with Spacetime Bounds Li-Ke Ma Zeshi Yang Xin Tong B. Guo KangKang Yin 29 23 0 31 Mar 2021
Human-Inspired Multi-Agent Navigation using Knowledge Distillation Pei Xu Ioannis Karamouzas 27 19 0 18 Mar 2021
Embodied Intelligence via Learning and Evolution Agrim Gupta Silvio Savarese Surya Ganguli Li Fei-Fei AI4CE 22 230 0 03 Feb 2021
A Spiking Central Pattern Generator for the control of a simulated lamprey robot running on SpiNNaker and Loihi neuromorphic boards Emmanouil Angelidis Emanuel Buchholz Jonathan Arreguit A. Rougé T. Stewart Axel Von Arnim Alois C. Knoll A. Ijspeert 35 28 0 18 Jan 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
Distributed Deep Reinforcement Learning: An Overview Mohammad Reza Samsami Hossein Alimadad OffRL 14 27 0 22 Nov 2020
Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning Jiajun Fan He Ba Xian Guo Jianye Hao OffRL 11 5 0 13 Nov 2020
Zero-Shot Terrain Generalization for Visual Locomotion Policies Alejandro Escontrela George Yu P. Xu Atil Iscen Jie Tan 11 17 0 11 Nov 2020
Behavior Priors for Efficient Reinforcement Learning Dhruva Tirumala Alexandre Galashov Hyeonwoo Noh Leonard Hasenclever Razvan Pascanu ... Guillaume Desjardins Wojciech M. Czarnecki Arun Ahuja Yee Whye Teh N. Heess 37 39 0 27 Oct 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards Kai Ploeger M. Lutter Jan Peters 8 29 0 26 Oct 2020
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion Maurice Rahme Ian Abraham Matthew L. Elwin Todd D. Murphey 29 14 0 22 Oct 2020
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves Luke Metz Niru Maheswaranathan C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 33 62 0 23 Sep 2020
TriFinger: An Open-Source Robot for Learning Dexterity Manuel Wüthrich Felix Widmaier F. Grimminger J. Akpo S. Joshi ... Julian Viereck M. Naveau Ludovic Righetti Bernhard Schölkopf Stefan Bauer 27 72 0 08 Aug 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion Roland Hafner Tim Hertweck Philipp Kloppner Michael Bloesch Michael Neunert Markus Wulfmeier S. Tunyasuvunakool N. Heess Martin Riedmiller 20 19 0 06 Aug 2020
Understanding the Stability of Deep Control Policies for Biped Locomotion Hwangpil Park R. Yu Yoonsang Lee Kyungho Lee Jehee Lee 19 9 0 30 Jul 2020
Reinforcement Learning of Musculoskeletal Control from Functional Simulations Emanuel Joos Fabien Péan Orçun Göksel AI4CE 17 12 0 13 Jul 2020
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang Igor Mordatch Deepak Pathak 51 164 0 09 Jul 2020
Critic Regularized Regression Ziyun Wang Alexander Novikov Konrad Zolna Jost Tobias Springenberg Scott E. Reed ... Noah Y. Siegel J. Merel Çağlar Gülçehre N. Heess Nando de Freitas OffRL 36 317 0 26 Jun 2020
Learning to Play Table Tennis From Scratch using Muscular Robots Le Chen Simon Guist Roberto Calandra V. Berenz Bernhard Schölkopf Jan Peters 9 88 0 10 Jun 2020
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games Hao Chen Chang Wang Jian Huang Jianxing Gong 8 5 0 26 May 2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot M. Schilling Kai Konen F. Ohl Timo Korthals 14 18 0 21 May 2020
CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion Ying-Sheng Luo Jonathan Hans Soeseno Trista Pei-chun Chen Wei-Chao Chen 15 15 0 07 May 2020
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 36 18 0 04 Apr 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals Xue Bin Peng Erwin Coumans Tingnan Zhang T. Lee Jie Tan Sergey Levine 13 495 0 02 Apr 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 22 12 0 25 Mar 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 34 120 0 24 Mar 2020
Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot G. Urbain Victor Barasuol Claudio Semini J. Dambre Francis Wyffels 26 6 0 20 Mar 2020
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang Joel Lehman Aditya Rawal Jiale Zhi Yulun Li Jeff Clune Kenneth O. Stanley 14 123 0 19 Mar 2020
Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors Rituraj Kaushik Timothée Anne Jean-Baptiste Mouret 14 52 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 34 13 0 05 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 18 16 0 13 Feb 2020
Learning Whole-body Motor Skills for Humanoids Chuanyu Yang Kai Yuan W. Merkt Taku Komura S. Vijayakumar Zhibin Li 9 38 0 07 Feb 2020
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors Jingliang Duan Yang Guan Shengbo Eben Li Yangang Ren B. Cheng OffRL 17 173 0 09 Jan 2020
Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication Ali Taleb Ieee Walid Saad Fellow Ieee Mohammad Mozaffari Member Ieee H. Vincent Poor Fellow 6 91 0 01 Nov 2019
Asynchronous Methods for Model-Based Reinforcement Learning Yunzhi Zhang I. Clavera Bo-Yu Tsai Pieter Abbeel OffRL 11 27 0 28 Oct 2019
Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning Guillaume Bellegarda Katie Byl OffRL 8 5 0 21 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 11 41 0 09 Oct 2019
Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning Tianyu Li Nathan Lambert Roberto Calandra Franziska Meier Akshara Rai 16 40 0 26 Sep 2019
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning Vassilios Tsounis Mitja Alge Joonho Lee Farbod Farshidian Marco Hutter 17 183 0 18 Sep 2019
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints M. Lutter Boris Belousov Kim D. Listmann Debora Clever Jan Peters 6 22 0 13 Sep 2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control Yu-Wei Chao Jimei Yang Weifeng Chen Jia Deng 24 41 0 20 Aug 2019
Hindsight Trust Region Policy Optimization Hanbo Zhang Site Bai Xuguang Lan David Hsu Nanning Zheng 30 8 0 29 Jul 2019
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio 21 47 0 25 Jun 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 22 219 0 13 Jun 2019
Sub-policy Adaptation for Hierarchical Reinforcement Learning Alexander C. Li Carlos Florensa I. Clavera Pieter Abbeel 21 71 0 13 Jun 2019