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Emergence of Locomotion Behaviours in Rich Environments

Emergence of Locomotion Behaviours in Rich Environments

7 July 2017
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
Greg Wayne
Yuval Tassa
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
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Papers citing "Emergence of Locomotion Behaviours in Rich Environments"

30 / 130 papers shown
Title
Arena: A General Evaluation Platform and Building Toolkit for
  Multi-Agent Intelligence
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
Yuhang Song
Andrzej Wojcicki
Thomas Lukasiewicz
Jianyi Wang
Abi Aryan
Zhenghua Xu
Mai Xu
Zihan Ding
Lianlong Wu
AI4CE
ELM
27
33
0
17 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
29
127
0
15 May 2019
Using RGB Image as Visual Input for Mapless Robot Navigation
Using RGB Image as Visual Input for Mapless Robot Navigation
Liulong Ma
Yanjie Liu
Jiao Chen
SSL
33
17
0
24 Mar 2019
Transfer in Deep Reinforcement Learning Using Successor Features and
  Generalised Policy Improvement
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
André Barreto
Diana Borsa
John Quan
Tom Schaul
David Silver
Matteo Hessel
D. Mankowitz
Augustin Žídek
Rémi Munos
OffRL
31
161
0
30 Jan 2019
Learning to Walk via Deep Reinforcement Learning
Learning to Walk via Deep Reinforcement Learning
Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
31
433
0
26 Dec 2018
Relative Entropy Regularized Policy Iteration
Relative Entropy Regularized Policy Iteration
A. Abdolmaleki
Jost Tobias Springenberg
Jonas Degrave
Steven Bohez
Yuval Tassa
Dan Belov
N. Heess
Martin Riedmiller
19
72
0
05 Dec 2018
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through
  Imitation
RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Mehdi Letafati
Yuke Zhu
Animesh Garg
Jonathan Booher
Max Spero
...
John Emmons
Anchit Gupta
Emre Orbay
Silvio Savarese
Li Fei-Fei
OffRL
48
281
0
07 Nov 2018
GPU-Accelerated Robotic Simulation for Distributed Reinforcement
  Learning
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang
Viktor Makoviychuk
Ankur Handa
N. Chentanez
Miles Macklin
Dieter Fox
AI4CE
16
182
0
12 Oct 2018
Policy Transfer with Strategy Optimization
Policy Transfer with Strategy Optimization
Wenhao Yu
Chenxi Liu
Greg Turk
35
80
0
12 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal
Fei Sha
6
738
0
05 Oct 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement
  Learning
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning
P. Nagarajan
Garrett A. Warnell
Peter Stone
12
51
0
15 Sep 2018
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement
  Learning
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning
Chuanyu Yang
Taku Komura
Zhibin Li
19
20
0
06 Sep 2018
FuzzerGym: A Competitive Framework for Fuzzing and Learning
FuzzerGym: A Competitive Framework for Fuzzing and Learning
W. Drozd
Michael D. Wagner
25
32
0
19 Jul 2018
A survey on policy search algorithms for learning robot controllers in a
  handful of trials
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis
Vassilis Vassiliades
F. Stulp
Sylvain Calinon
Jean-Baptiste Mouret
17
155
0
06 Jul 2018
Variance Reduction for Reinforcement Learning in Input-Driven
  Environments
Variance Reduction for Reinforcement Learning in Input-Driven Environments
Hongzi Mao
S. Venkatakrishnan
Malte Schwarzkopf
Mohammad Alizadeh
OffRL
38
94
0
06 Jul 2018
Multi-objective Model-based Policy Search for Data-efficient Learning
  with Sparse Rewards
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik
Konstantinos Chatzilygeroudis
Jean-Baptiste Mouret
20
19
0
25 Jun 2018
Maximum a Posteriori Policy Optimisation
Maximum a Posteriori Policy Optimisation
A. Abdolmaleki
Jost Tobias Springenberg
Yuval Tassa
Rémi Munos
N. Heess
Martin Riedmiller
34
470
0
14 Jun 2018
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
21
87
0
02 Apr 2018
Feedback Control For Cassie With Deep Reinforcement Learning
Feedback Control For Cassie With Deep Reinforcement Learning
Zhaoming Xie
Glen Berseth
Patrick Clary
J. Hurst
M. van de Panne
27
174
0
15 Mar 2018
Distributed Prioritized Experience Replay
Distributed Prioritized Experience Replay
Dan Horgan
John Quan
David Budden
Gabriel Barth-Maron
Matteo Hessel
H. V. Hasselt
David Silver
84
731
0
02 Mar 2018
Clipped Action Policy Gradient
Clipped Action Policy Gradient
Yasuhiro Fujita
S. Maeda
OffRL
31
37
0
21 Feb 2018
Time Limits in Reinforcement Learning
Time Limits in Reinforcement Learning
Fabio Pardo
Arash Tavakoli
Vitaly Levdik
Petar Kormushev
CLL
28
158
0
01 Dec 2017
Divide-and-Conquer Reinforcement Learning
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh
Avi Singh
Aravind Rajeswaran
Vikash Kumar
Sergey Levine
OffRL
34
124
0
27 Nov 2017
Cascade Attribute Learning Network
Cascade Attribute Learning Network
Zhuo Xu
Haonan Chang
Masayoshi Tomizuka
33
4
0
24 Nov 2017
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Xue Bin Peng
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
67
1,337
0
18 Oct 2017
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
35
2,774
0
19 Aug 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
22
622
0
17 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
28
18,197
0
20 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
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