Jacob Adamczyk

According to our database, Jacob Adamczyk authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Boosting Soft Q-Learning by Bounding.

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

CoRR, 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