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Aditya Mohan

Structure in Deep Reinforcement Learning: A Survey and Open Problems
2024 · Aditya Mohan, Amy Zhang, et al. · Journal of Artificial Intelligence Research · 25
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Contextualize Me -- The Case for Context in Reinforcement Learning
2022 · Benjamins, Carolin, Eimer, Theresa, et al. · arXiv (Cornell University) · 8
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Learning Activation Functions for Sparse Neural Networks
2023 · Loni, Mohammad, Mohan, Aditya, et al. · arXiv (Cornell University) · 5
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Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
2024 · Carolin Benjamins, Gjorgjina Cenikj, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 3
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AutoRL Hyperparameter Landscapes
2023 · Mohan, Aditya, Benjamins, Carolin, et al. · arXiv (Cornell University) · 2
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Towards Meta-learned Algorithm Selection using Implicit Fidelity Information
2022 · Mohan, Aditya, Ruhkopf, Tim, et al. · arXiv (Cornell University) · 1
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Communication-Free Obstacle Localization from Aggregate Wrench Measurements in Leader--Follower Cooperative Transport
2026 · Kashiri, Amin, Mohan, Aditya, et al. · arXiv (Cornell University)
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Mighty: A Comprehensive Tool for Studying Generalization, Meta-RL and AutoRL
2026 · Aditya Mohan, Theresa Eimer, et al. · The Journal of Open Source Software
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Multi-Sensor Alignment for Weather Simulations
2026 · Alam, Samsad, Lambhate, Devyani, et al. · arXiv (Cornell University)
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Reinforcement learning-based dispatch for decentralized energy systems: Direct comparison of actor-critic method and neuroevolutionary approach
2026 · Lukas Koenemann, Aditya Mohan, et al. · Energy Conversion and Management X
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Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL
2026 · Mohan, Aditya, Eimer, Theresa, et al. · Zenodo (CERN European Organization for Nuclear Research)
Multi-Sensor Alignment for Weather Simulations
2026 · Samsad Alam, Devyani Lambhate, et al. · International Conference on Signal Processing and Communications (SPCOM)
EquiBim: Learning Symmetry-Equivariant Policy for Bimanual Manipulation
2026 · Zhang, Zhiyuan, Mohan, Aditya, et al. · arXiv (Cornell University)
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Beyond Success Rates: Trainability and Extractability for Offline GCRL
2026 · Töpperwien, Jan Malte, Mohan, Aditya, et al. · arXiv (Cornell University)
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Moments Matter:Stabilizing Policy Optimization using Return Distributions
2026 · Jabs, Dennis, Mohan, Aditya, et al. · arXiv (Cornell University)
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ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
2024 · Becktepe, Jannis, Dierkes, Julian, et al. · arXiv (Cornell University)
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Works count: 18
Citation count: 53
H-index: 4
I10-index: 1
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