Jacob Adamczyk

19 papers A* 3A 2Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Maximum Entropy Exploration Without the Rollouts. CoRR Jacob Adamczyk, Adam Kamoski, Rahul V. Kulkarni
2026	J	`jnl`	Thermodynamics of Reinforcement Learning Curricula. CoRR Jacob Adamczyk, Juan Sebastian Rojas, Rahul V. Kulkarni
2025	J	`jnl`	Average-Reward Reinforcement Learning with Entropy Regularization. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	A*	`conf`	Bootstrapped Reward Shaping. AAAI Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	Bootstrapped Reward Shaping. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	EVAL: EigenVector-based Average-reward Learning. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	Exploration Behavior of Untrained Policies. CoRR Jacob Adamczyk
2025	J	`jnl`	Inferring Transition Dynamics from Value Functions. CoRR Jacob Adamczyk
2025	A*	`conf`	Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics. ICLR Josiah C. Kratz, Jacob Adamczyk
2024	J	`jnl`	Boosting Soft Q-Learning by Bounding. RLJ Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2024	J	`jnl`	Boosting Soft Q-Learning by Bounding. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2024	J	`jnl`	Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics. CoRR Josiah C. Kratz, Jacob Adamczyk
2023	A	`conf`	Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. UAI Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
2023	J	`jnl`	Bounding the Optimal Value Function in Compositional Reinforcement Learning. CoRR Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2023	A	`conf`	Bounding the optimal value function in compositional reinforcement learning. UAI Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2023	J	`jnl`	Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning. CoRR Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni
2023	A*	`conf`	Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. AAAI Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2022	J	`jnl`	Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning. CoRR Jacob Adamczyk, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2020	J	`jnl`	Neural Network Degeneration and its Relationship to the Brain. CoRR Jacob Adamczyk