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Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning
v1v2 (latest)

Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

29 June 2024
Gautham Vasan
Yan Wang
Fahim Shahriar
James Bergstra
Martin Jägersand
A. R. Mahmood
ArXiv (abs)PDFHTML

Papers citing "Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning"

12 / 12 papers shown
Title
MaDi: Learning to Mask Distractions for Generalization in Visual Deep
  Reinforcement Learning
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning
Bram Grooten
Tristan Tomilin
Gautham Vasan
Matthew E. Taylor
A. R. Mahmood
Meng Fang
Mykola Pechenizkiy
Decebal Constantin Mocanu
71
10
0
23 Dec 2023
Dynamic Decision Frequency with Continuous Options
Dynamic Decision Frequency with Continuous Options
Amir-Hossein Karimi
Jun Jin
Jun Luo
A. R. Mahmood
Martin Jägersand
Samuele Tosatto
55
10
0
06 Dec 2022
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing
  Local and Remote Computers
Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers
Yan Wang
Gautham Vasan
A. R. Mahmood
82
16
0
05 Oct 2022
An Alternate Policy Gradient Estimator for Softmax Policies
An Alternate Policy Gradient Estimator for Softmax Policies
Shivam Garg
Samuele Tosatto
Yangchen Pan
Martha White
A. R. Mahmood
82
7
0
22 Dec 2021
Model-free Policy Learning with Reward Gradients
Model-free Policy Learning with Reward Gradients
Qingfeng Lan
Samuele Tosatto
Homayoon Farrahi
Rupam Mahmood
49
6
0
09 Mar 2021
Reinforcement Learning with Augmented Data
Reinforcement Learning with Augmented Data
Michael Laskin
Kimin Lee
Adam Stooke
Lerrel Pinto
Pieter Abbeel
A. Srinivas
OffRL
89
660
0
30 Apr 2020
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal
  Representations for Contact-Rich Tasks
Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee
Yuke Zhu
K. Srinivasan
Parth Shah
Silvio Savarese
Li Fei-Fei
Animesh Garg
Jeannette Bohg
SSL
86
369
0
24 Oct 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
90
448
0
28 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
317
8,396
0
04 Jan 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELMLM&RoBDL
140
1,143
0
02 Jan 2018
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
271
2,337
0
05 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,085
0
05 Jun 2016
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