Published in RLC 2025, full paper, 2025
This paper takes the implicit curriculum of self play and uses it to search over control algorithms for both traditional RL and LLM-style tasks
Recommended citation: see below https://arxiv.org/pdf/2507.06466
Published in ALOE Workshop 2022 @ ICLR, 2022
This paper introduces a software framework to explore open-ended learning algorithms
Recommended citation: see below http://aadharna.github.io/files/watts.pdf
Published in IEEE Transactions on Games 2022, 2022
This paper analyzes the necessity of agent transfer in generated curricula
Recommended citation: see below http://aadharna.github.io/files/Transfer_PINSKY.pdf
Published in AIIDE 2020, 2020
This paper is about using coevolution of game-levels and game-playing agents in GVGAI
Recommended citation: see below http://aadharna.github.io/files/PINSKY.pdf
Published in ACS, 2020
This paper is about using machine learning to learn perovskite reaching when ones model of the chemical world is not accurate
Recommended citation: see below http://aadharna.github.io/files/perovskite.pdf