Jacob Adamczyk

According to our database, Jacob Adamczyk authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Maximum Entropy Exploration Without the Rollouts.

Jacob Adamczyk, Adam Kamoski, Rahul V. Kulkarni

CoRR, March, 2026

Thermodynamics of Reinforcement Learning Curricula.

Jacob Adamczyk, Juan Sebastian Rojas, Rahul V. Kulkarni

CoRR, March, 2026

2025

Exploration Behavior of Untrained Policies.

Jacob Adamczyk

CoRR, June, 2025

EVAL: EigenVector-based Average-reward Learning.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

CoRR, January, 2025

Inferring Transition Dynamics from Value Functions.

Jacob Adamczyk

CoRR, January, 2025

Average-Reward Reinforcement Learning with Entropy Regularization.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

CoRR, January, 2025

Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics.

Josiah C. Kratz, Jacob Adamczyk

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bootstrapped Reward Shaping.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Boosting Soft Q-Learning by Bounding.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

RLJ, 2024

2023

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning.

Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni

CoRR, 2023

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics.

Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Bounding the optimal value function in compositional reinforcement learning.

Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning.

Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2020

Neural Network Degeneration and its Relationship to the Brain.

Jacob Adamczyk

CoRR, 2020