Learning to Walk via Deep Reinforcement Learning

26 December 2018

Jie Tan

Papers citing "Learning to Walk via Deep Reinforcement Learning"

25 / 225 papers shown

Title
Attention-Privileged Reinforcement Learning Sasha Salter Dushyant Rao Markus Wulfmeier R. Hadsell Ingmar Posner 23 8 0 19 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 6 5 0 21 Oct 2019
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement Chao Yang Xiaojian Ma Wenbing Huang F. Sun Huaping Liu Junzhou Huang Chuang Gan 20 70 0 10 Oct 2019
Decentralized Multi-Agent Actor-Critic with Generative Inference Kevin Corder Manuel M. Vindiola Keith S. Decker OffRL 17 5 0 07 Oct 2019
If MaxEnt RL is the Answer, What is the Question? Benjamin Eysenbach Sergey Levine 17 58 0 04 Oct 2019
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization Gabriel Kalweit M. Huegle Joschka Boedecker OffRL 14 5 0 30 Sep 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
ISL: A novel approach for deep exploration Lucas Cassano Ali H. Sayed 9 1 0 13 Sep 2019
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications Tamir Blum William Jones Kazuya Yoshida 11 8 0 13 Sep 2019
MPC-Net: A First Principles Guided Policy Search Jan Carius Farbod Farshidian Marco Hutter 9 53 0 11 Sep 2019
Generalization in Transfer Learning S. E. Ada Emre Ugur H. L. Akin 19 17 0 03 Sep 2019
Deep reinforcement learning in World-Earth system models to discover sustainable management strategies Felix M. Strnad W. Barfuss J. Donges J. Heitzig 16 25 0 15 Aug 2019
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real Ofir Nachum Michael Ahn Hugo Ponte S. Gu Vikash Kumar 21 89 0 13 Aug 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression Rika Antonova Akshara Rai Tianyu Li Danica Kragic DRL 16 17 0 10 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 12 139 0 08 Jul 2019
Temporal-difference learning with nonlinear function approximation: lazy training and mean field regimes Andrea Agazzi Jianfeng Lu 6 8 0 27 May 2019
Evolving Rewards to Automate Reinforcement Learning Aleksandra Faust Anthony G. Francis Dar Mehta 15 50 0 18 May 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 18 28 0 25 Mar 2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 6 6 0 22 Mar 2019
Towards Characterizing Divergence in Deep Q-Learning Joshua Achiam Ethan Knight Pieter Abbeel 16 96 0 21 Mar 2019
Sim-to-Real Transfer for Biped Locomotion Wenhao Yu Visak C. V. Kumar Greg Turk C. Karen Liu 12 113 0 04 Mar 2019
ToriLLE: Learning Environment for Hand-to-Hand Combat Anssi Kanervisto Ville Hautamaki 13 2 0 26 Jul 2018
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 134 928 0 07 Jul 2017