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Towards Interactive Reinforcement Learning with Intrinsic Feedback

Towards Interactive Reinforcement Learning with Intrinsic Feedback

2 December 2021
Ben Poole
Minwoo Lee
    OffRL
ArXivPDFHTML

Papers citing "Towards Interactive Reinforcement Learning with Intrinsic Feedback"

17 / 17 papers shown
Title
EEG based Emotion Recognition: A Tutorial and Review
EEG based Emotion Recognition: A Tutorial and Review
Xiang Li
Yazhou Zhang
Prayag Tiwari
D. Song
Bin Hu
Meihong Yang
Zhigang Zhao
Neeraj Kumar
Pekka Marttinen
96
260
0
16 Mar 2022
What Would Jiminy Cricket Do? Towards Agents That Behave Morally
What Would Jiminy Cricket Do? Towards Agents That Behave Morally
Dan Hendrycks
Mantas Mazeika
Andy Zou
Sahil Patel
Christine Zhu
Jesus Navarro
D. Song
Yue Liu
Jacob Steinhardt
67
58
0
25 Oct 2021
A Survey on Interactive Reinforcement Learning: Design Principles and
  Open Challenges
A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges
Christian Arzate Cruz
Takeo Igarashi
OffRL
36
95
0
27 May 2021
Widening the Pipeline in Human-Guided Reinforcement Learning with
  Explanation and Context-Aware Data Augmentation
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
L. Guan
Mudit Verma
Sihang Guo
Ruohan Zhang
Subbarao Kambhampati
71
42
0
26 Jun 2020
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies
  on Signal Sensing Technologies and Computational Intelligence Approaches and
  their Applications
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Xiaotong Gu
Zehong Cao
A. Jolfaei
Peng Xu
Dongrui Wu
T. Jung
Chin-Teng Lin
45
238
0
28 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning
Dota 2 with Large Scale Deep Reinforcement Learning
OpenAI OpenAI
:
Christopher Berner
Greg Brockman
Brooke Chan
...
Szymon Sidor
Ilya Sutskever
Jie Tang
Filip Wolski
Susan Zhang
GNN
VLM
CLL
AI4CE
LRM
153
1,822
0
13 Dec 2019
Accelerated Robot Learning via Human Brain Signals
Accelerated Robot Learning via Human Brain Signals
Iretiayo Akinola
Zizhao Wang
Junyao Shi
Xiaomin He
Pawan Lapborisuth
Jingxi Xu
David Watkins-Valls
P. Sajda
Peter K. Allen
OffRL
30
21
0
01 Oct 2019
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent
  Advances and New Frontiers
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang
Lina Yao
Xianzhi Wang
Jessica J. M. Monaghan
David Mcalpine
Yu Zhang
3DV
56
140
0
10 May 2019
Scalable agent alignment via reward modeling: a research direction
Scalable agent alignment via reward modeling: a research direction
Jan Leike
David M. Krueger
Tom Everitt
Miljan Martic
Vishal Maini
Shane Legg
88
413
0
19 Nov 2018
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
843
0
16 Nov 2018
Learning Dexterous In-Hand Manipulation
Learning Dexterous In-Hand Manipulation
OpenAI OpenAI
Marcin Andrychowicz
Bowen Baker
Maciek Chociej
Rafal Jozefowicz
...
Szymon Sidor
Joshua Tobin
Peter Welinder
Lilian Weng
Wojciech Zaremba
127
1,877
0
01 Aug 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OOD
UQCV
EDL
BDL
177
991
0
05 Jun 2018
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces
Garrett A. Warnell
Nicholas R. Waytowich
Vernon J. Lawhern
Peter Stone
42
270
0
28 Sep 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
98
1,340
0
27 Feb 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
90
2,881
0
23 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,850
0
04 Feb 2016
Deep Reinforcement Learning with Double Q-learning
Deep Reinforcement Learning with Double Q-learning
H. V. Hasselt
A. Guez
David Silver
OffRL
161
7,639
0
22 Sep 2015
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