Reinforcement Learning Research

Reinforcement learning (RL) research focuses on developing algorithms that enable agents to learn optimal behaviors through trial-and-error interactions with an environment. Current research emphasizes improving RL's ability to handle complex scenarios, including multi-objective and multi-agent problems, often employing techniques like proximal policy optimization and distributional RL within various model architectures. This field is crucial for advancing artificial intelligence, with applications ranging from robotics and control systems to resource management and game playing, driving the development of new benchmark environments and tools for reproducible research. The need for improved generalization and efficient training methods remains a central challenge.

Papers

October 18, 2024

CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
Harry Emerson, Liz Bates, Chris Hicks, Vasilios Mavroudis
Development Activity Reinforcement Learning Research Autonomous Cyber MR iNet Gym Cybernetic Avatar Autonomous Network

August 24, 2024

Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning
Alperen Tercan, Vinayak S. Prabhu
Multi Objective Reinforcement Learning Research

July 30, 2024

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
Hosung Lee, Sejin Kim, Seungpil Lee, Sanha Hwang, Jihwan Lee, Byung-Jun Lee, Sundong Kim
Reinforcement Learning Action Space Proximal Policy Optimization Cognitive Abstraction Reinforcement Learning Research Reasoning Corpus

July 23, 2024

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning
Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Rădulescu
New Benchmark Multi Agent Reinforcement Learning Multi Objective Reinforcement Learning Closing Set Reinforcement Learning Research

July 11, 2024

A Review of Nine Physics Engines for Reinforcement Learning Research
Michael Kaup, Cornelius Wolff, Hyerim Hwang, Julius Mayer, Elia Bruni
Reinforcement Learning Simulation Environment Reinforcement Learning Research Simulation Platform Physic Engine Simulation Fidelity

June 25, 2024

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO
Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
Reinforcement Learning Diverse Platform Reinforcement Learning Research State of the Art Reinforcement LEGO Object

June 23, 2024

Position: Benchmarking is Limited in Reinforcement Learning Research
Scott M. Jordan, Adam White, Bruno Castro da Silva, Martha White, Philip S. Thomas
Benchmark Platform Benchmark Study Product Specific Position Information Novel Reinforcement Learning Computational Cost Reinforcement Learning Research Benchmark Environment

May 14, 2024

Python-Based Reinforcement Learning on Simulink Models
Georg Schäfer, Max Schirl, Jakob Rehrl, Stefan Huber, Simon Hirlaender
Reinforcement Learning Agent Reinforcement Learning Research Training Agent Simulink Simulator

January 4, 2024

A Survey Analyzing Generalization in Deep Reinforcement Learning
Ezgi Korkmaz
Timely Survey Deep Reinforcement Learning Strong Generalization Reinforcement Learning Research Robust Deep Reinforcement Learning

November 7, 2023

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
Multi Agent Learning Multi Agent Environment Reinforcement Learning Research Neural MMO

October 9, 2023

Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem
Haider Kamal, Muaz A. Niazi, Hammad Afzal
Reinforcement Learning Multi Agent Reinforcement Learning Reward Function Right Problem Serial Reproduction Reinforcement Learning Research Pursuit Strategy

June 14, 2023

Katakomba: Tools and Benchmarks for Data-Driven NetHack
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov, Sergey Kolesnikov
New Benchmark Offline Reinforcement Learning Easy Tool Reinforcement Learning Research Hierarchical Task NetHack Learning

April 3, 2023

PyFlyt -- UAV Simulation Environments for Reinforcement Learning Research
Jun Jet Tai, Jim Wong, Mauro Innocente, Nadjim Horri, James Brusey, Swee King Phang
Reinforcement Learning Reinforcement Learning Algorithm Reinforcement Learning Research Drone Control

February 3, 2023

Distributional constrained reinforcement learning for supply chain optimization
Jaime Sabal Bermúdez, Antonio del Rio Chanona, Calvin Tsay
Policy Gradient Distributional Reinforcement Learning Reinforcement Learning Research Constrained Policy Optimization Supply Chain Optimization

January 24, 2023

Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Artem Latyshev, Aleksandr I. Panov
Model Based Reinforcement Learning Autonomous Agent Intrinsic Reward Intrinsic Motivation Reinforcement Learning Research Brief Review AI Control

December 28, 2022

Towards automating Codenames spymasters with deep reinforcement learning
Sherman Siu
Reinforcement Learning Deep Reinforcement Learning Text Based Game Reinforcement Learning Research Enigma 51

December 14, 2022

Reinforcement Learning in System Identification
Jose Antonio Martin H., Oscar Fernandez Vicente, Sergio Perez, Anas Belfadil, Cristina Ibanez-Llano, Freddy Jose Perozo Rondon, Jose Javier Valle, Javier Arechalde Pelaz
Reinforcement Learning System Identification Reinforcement Learning Problem Reinforcement Learning Research Forward Model

December 1, 2022

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
Jiayu Chen, Vaneet Aggarwal, Tian Lan
Unsupervised Discovery Determinantal Point Process Robust Skill Reinforcement Learning Research Coverage Criterion Option Discovery Unified Algorithm

November 3, 2022

A Survey on Reinforcement Learning in Aviation Applications
Pouria Razzaghi, Amin Tabrizian, Wei Guo, Shulu Chen, Abenezer Taye, Ellis Thompson, Alexis Bregeon, Ali Baheri, Peng Wei
Reinforcement Learning Timely Survey Model Based Sequential Decision Making Problem Reinforcement Learning Research Aviation Domain

November 1, 2022

Reinforcement Learning in Education: A Multi-Armed Bandit Approach
Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman
Reinforcement Learning Online Learning Education Domain Agent Based Model Reinforcement Learning Research Recommendation Problem State Reward