Sphynx: A Shared Instruction Cache Exporatory Study. - Dong-hyeon Park; Akhil Bagaria; Fabiha Hannan; Eric Storm; Josef B. Spjut (CoRR, 2014)

Option Discovery using Deep Skill Chaining. - Akhil Bagaria; George Konidaris 001 (ICLR, 2020)

Skill Discovery for Exploration and Planning using Deep Skill Graphs. - Akhil Bagaria; Jason K. Senthil; George Konidaris 001 (ICML, 2021)

Robustly Learning Composable Options in Deep Reinforcement Learning. - Akhil Bagaria; Jason K. Senthil; Matthew Slivinski; George Konidaris 001 (IJCAI, 2021)

Optimistic Initialization for Exploration in Continuous Control. - Sam Lobel; Omer Gottesman; Cameron Allen; Akhil Bagaria; George Konidaris 001 (AAAI, 2022)

Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning. - Sam Lobel; Akhil Bagaria; George Konidaris 001 (ICML, 2023)

Scaling Goal-based Exploration via Pruning Proto-goals. - Akhil Bagaria; Tom Schaul (IJCAI, 2023)

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. - Akhil Bagaria; Ben Abbatematteo; Omer Gottesman; Matt Corsaro; Sreehari Rammohan; George Dimitri Konidaris (NeurIPS, 2023)

Scaling Goal-based Exploration via Pruning Proto-goals. - Akhil Bagaria; Ray Jiang; Ramana Kumar; Tom Schaul (CoRR, 2023)

Discovering Options That Minimize Average Planning Time. - Alexander Ivanov; Akhil Bagaria; George Konidaris 001 (AAAI, 2025)

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning. - Martin Klissarov; Akhil Bagaria; Ziyan Luo; George Dimitri Konidaris; Doina Precup; Marlos C. Machado (CoRR, 2025)

Structure-Informed Deep Reinforcement Learning for Inventory Management. - Alvaro Maggiar; Sohrab Andaz; Akhil Bagaria; Carson Eisenach; Dean P. Foster; Omer Gottesman; Dominique Perrault-Joncas (CoRR, 2025)