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Anurag Koul
Anurag Koul
Applied Scientist 2, Amazon
Verified email at oregonstate.edu - Homepage
Title
Cited by
Cited by
Year
Visualizing and understanding atari agents
S Greydanus, A Koul, J Dodge, A Fern
International conference on machine learning, 1792-1801, 2018
5172018
Explainable Reinforcement Learning via Reward Decomposition
Z Juozapaitis, A Koul, A Fern, M Erwig, F Doshi-Velez
3302019
Learning finite state representations of recurrent policy networks
A Koul, S Greydanus, A Fern
arXiv preprint arXiv:1811.12530, 2018
1222018
ma-gym: Collection of multi-agent environments based on OpenAI gym
A Koul
https://github.com/koulanurag/ma-gym, 2019
442019
Re-understanding finite-state representations of recurrent policy networks
MH Danesh, A Koul, A Fern, S Khorram
International conference on machine learning, 2388-2397, 2021
322021
Explaining deep adaptive programs via reward decomposition
M Erwig, A Fern, M Murali, A Koul
IJCAI/ECAI workshop on explainable artificial intelligence, 2018
232018
Dream and search to control: Latent space planning for continuous control
A Koul, VV Kumar, A Fern, S Majumdar
arXiv preprint arXiv:2010.09832, 2020
52020
PcLast: Discovering plannable continuous latent states
A Koul, S Sujit, S Chen, B Evans, L Wu, B Xu, R Chari, R Islam, R Seraj, ...
arXiv preprint arXiv:2311.03534, 2023
22023
SpecAgent: A Speculative Retrieval and Forecasting Agent for Code Completion
G Ma, A Koul, Q Chen, Y Wu, S Kuhar, Y Yu, A Sengupta, V Kumar, ...
arXiv preprint arXiv:2510.17925, 2025
2025
Investigating Latent State and Uncertainty Representations in Reinforcement Learning
A Koul
2022
Offline Policy Comparison with Confidence: Benchmarks and Baselines
A Koul, M Phielipp, A Fern
arXiv preprint arXiv:2205.10739, 2022
2022
Towards Real-World Offline Reinforcement Learning
A Koul, J Dao, A Saxena, R Jayaraman
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Articles 1–12