Jacob Adamczyk

According to our database1, Jacob Adamczyk authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Exploration Behavior of Untrained Policies.
CoRR, June, 2025

EVAL: EigenVector-based Average-reward Learning.
CoRR, January, 2025

Inferring Transition Dynamics from Value Functions.
CoRR, January, 2025

Average-Reward Reinforcement Learning with Entropy Regularization.
CoRR, January, 2025

Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapped Reward Shaping.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Boosting Soft Q-Learning by Bounding.
RLJ, 2024

2023
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning.
CoRR, 2023

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bounding the optimal value function in compositional reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020
Neural Network Degeneration and its Relationship to the Brain.
CoRR, 2020


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