Jacob Adamczyk

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Bayesian Inference

Reinforcement Learning

Variational Approximation

Top Venues

Publications

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
Boosting Soft Q-Learning by Bounding. CoRR (2024)
Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Bounding the optimal value function in compositional reinforcement learning. UAI (2023)
Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Bounding the Optimal Value Function in Compositional Reinforcement Learning. CoRR (2023)
Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. UAI (2023)
Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning. CoRR (2023)
Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. AAAI (2023)
Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. CoRR (2022)
Jacob Adamczyk
Neural Network Degeneration and its Relationship to the Brain. CoRR (2020)