Stas Tiomkin - RankMe

48 papers A* 6A 5B 1C 2Journal 33Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controllable Information Production. CoRR Tristan Shah, Stas Tiomkin
2025	A*	`conf`	Acoustic Wave Manipulation Through Sparse Robotic Actuation. ICRA Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin
2025	J	`jnl`	Acoustic Wave Manipulation Through Sparse Robotic Actuation. CoRR Tristan Shah, Noam Smilovich, Feruza Amirkulova, Samer Gerges, Stas Tiomkin
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`	Decentralized Traffic Flow Optimization Through Intrinsic Motivation. CoRR Himaja Papala, Daniel Polani, Stas Tiomkin
2025	J	`jnl`	EVAL: EigenVector-based Average-reward Learning. CoRR Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni
2025	J	`jnl`	Goals and the Structure of Experience. CoRR Nadav Amir, Stas Tiomkin, Angela Langdon
2025	B	`conf`	Learning telic-controllable state representations. CogSci Nadav Amir, Stas Tiomkin
2025	A*	`conf`	SuPLE: Robot Learning with Lyapunov Rewards. ICRA Phu Nguyen, Daniel Polani, Stas Tiomkin
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	C	`conf`	Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems. ACC Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, Stas Tiomkin
2024	C	`conf`	Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis. ACC Wooyoung Chung, Daniel Polani, Stas Tiomkin
2024	J	`jnl`	Learning telic-controllable state representations. CoRR Nadav Amir, Stas Tiomkin, Angela Langdon
2024	J	`jnl`	Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. IEEE Access Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin
2024	J	`jnl`	SuPLE: Robot Learning with Lyapunov Rewards. CoRR Phu Nguyen, Daniel Polani, Stas Tiomkin
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	J	`jnl`	Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems. CoRR Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, Stas Tiomkin
2023	J	`jnl`	Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis. CoRR Wooyoung Chung, Daniel Polani, Stas Tiomkin
2023	J	`jnl`	Intrinsic Motivation in Dynamical Control Systems. CoRR Stas Tiomkin, Ilya Nemenman, Daniel Polani, Naftali Tishby
2023	J	`jnl`	Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. CoRR Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin
2023	J	`jnl`	Taming Waves: A Physically-Interpretable Machine Learning Framework for Realizable Control of Wave Dynamics. CoRR Tristan Shah, Feruza Amirkulova, Stas Tiomkin
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	A	`conf`	Multi-Objective Policy Gradients with Topological Constraints. IROS Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel
2022	J	`jnl`	Multi-Objective Policy Gradients with Topological Constraints. CoRR Kyle Hollins Wray, Stas Tiomkin, Mykel J. Kochenderfer, Pieter Abbeel
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
2021	J	`jnl`	Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning. CoRR Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni
2021	A*	`conf`	Efficient Empowerment Estimation for Unsupervised Stabilization. ICLR Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
2021	J	`jnl`	GEM: Group Enhanced Model for Learning Dynamical Control Systems. CoRR Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto, Pieter Abbeel, Stas Tiomkin
2020	A*	`conf`	AvE: Assistance via Empowerment. NeurIPS Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	J	`jnl`	AvE: Assistance via Empowerment. CoRR Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan
2020	J	`jnl`	Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning. CoRR Xingyu Lu, Kimin Lee, Pieter Abbeel, Stas Tiomkin
2020	J	`jnl`	Efficient Online Estimation of Empowerment for Reinforcement Learning. CoRR Ruihan Zhao, Pieter Abbeel, Stas Tiomkin
2020	J	`jnl`	Preventing Imitation Learning with Adversarial Policy Ensembles. CoRR Albert Zhan, Stas Tiomkin, Pieter Abbeel
2019	J	`jnl`	Learning Efficient Representation for Intrinsic Motivation. CoRR Ruihan Zhao, Stas Tiomkin, Pieter Abbeel
2019	J	`jnl`	Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards. CoRR Xingyu Lu, Stas Tiomkin, Pieter Abbeel
2017	J	`jnl`	A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes. CoRR Stas Tiomkin, Naftali Tishby
2017	J	`jnl`	Control Capacity of Partially Observable Dynamic Systems in Continuous Time. CoRR Stas Tiomkin, Daniel Polani, Naftali Tishby
2015	A	`conf`	Cognitive workload and vocabulary sparseness: theory and practice. INTERSPEECH Ron M. Hecht, Aharon Bar-Hillel, Stas Tiomkin, Hadar Levi, Omer Tsimhoni, Naftali Tishby
2015	—	`conf`	Past-future Information Bottleneck for linear feedback systems. CDC Nadav Amir, Stas Tiomkin, Naftali Tishby
2011	J	`jnl`	A Hybrid Text-to-Speech System That Combines Concatenative and Statistical Synthesis Units. IEEE Trans. Speech Audio Process. Stas Tiomkin, David Malah, Slava Shechtman, Zvi Kons
2010	J	`jnl`	Statistical Text-to-Speech Synthesis Based on Segment-Wise Representation With a Norm Constraint. IEEE Trans. Speech Audio Process. Stas Tiomkin, David Malah, Slava Shechtman
2008	A	`conf`	Statistical text-to-speech synthesis with improved dynamics. INTERSPEECH Stas Tiomkin, David Malah