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Dealing with Sparse Rewards in Continuous Control Robotics via
  Heavy-Tailed Policies

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies

12 June 2022
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Pratap Tokekar
Dinesh Manocha
ArXivPDFHTML

Papers citing "Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies"

6 / 6 papers shown
Title
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning
  from Human Feedback
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Dinesh Manocha
Huazheng Wang
Mengdi Wang
Furong Huang
28
25
0
03 Aug 2023
STEERING: Stein Information Directed Exploration for Model-Based
  Reinforcement Learning
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Mengdi Wang
Furong Huang
Dinesh Manocha
24
7
0
28 Jan 2023
HTRON:Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed
  Adaptive Reinforce Algorithm
HTRON:Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
K. Weerakoon
Souradip Chakraborty
N. Karapetyan
A. Sathyamoorthy
Amrit Singh Bedi
Dinesh Manocha
13
15
0
08 Jul 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
60
54
0
28 Sep 2021
Reinforcement Learning With Sparse-Executing Actions via Sparsity
  Regularization
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
Jing-Cheng Pang
Tian Xu
Shengyi Jiang
Yu-Ren Liu
Yang Yu
13
1
0
18 May 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
146
509
0
04 May 2018
1