3 citations · 11 across the 9 of their papers we have counts for
9 papers
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
Shengyi Huang, Quentin Gallouédec, Florian Felten +30
In many Reinforcement Learning (RL) papers, learning curves are useful indicators to measure the effectiveness of RL algorithms. However, the complete raw data of the learning curv…
Adversarial Style Transfer for Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
This paper proposes an algorithm that aims to improve generalization for reinforcement learning agents by removing overfitting to confounding features. Our approach consists of a m…
Adversarial Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
The policy represented by the deep neural network can overfit the spurious features in observations, which hamper a reinforcement learning agent from learning effective policy. Thi…
Robust Policy Optimization in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
The policy gradient method enjoys the simplicity of the objective where the agent optimizes the cumulative reward directly. Moreover, in the continuous action domain, parameterized…
Bootstrap Advantage Estimation for Policy Optimization in Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
This paper proposes an advantage estimation approach based on data augmentation for policy optimization. Unlike using data augmentation on the input to learn value and policy funct…
Bootstrap State Representation using Style Transfer for Better Generalization in Deep Reinforcement Learning
Md Masudur Rahman, Yexiang Xue
Deep Reinforcement Learning (RL) agents often overfit the training environment, leading to poor generalization performance. In this paper, we propose Thinker, a bootstrapping metho…
DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
Naveen Madapana, Md Masudur Rahman, Natalia Sanchez-Tamayo +10
Datasets are an essential component for training effective machine learning models. In particular, surgical robotic datasets have been key to many advances in semi-autonomous surge…
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks
Md Masudur Rahman, Saikat Chakraborty, Gail Kaiser +1
Information Retrieval (IR) plays a pivotal role in diverse Software Engineering (SE) tasks, e.g., bug localization and triaging, code retrieval, requirements analysis, etc. The cho…
Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval
Md Masudur Rahman, Jed Barson, Sydney Paul +6
Search is an integral part of a software development process. Developers often use search engines to look for information during development, including reusable code snippets, API…