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Employment (2)

Texas Tech University: Lubbock, US

2024-08-20 to present | Assistant Professor (Computer Science)
Employment
Source: Self-asserted source
Stas Tiomkin

San Jose State University: San Jose, US

2021-08-20 to 2024-08-19 | Assistant Professor (Computer Engineering)
Employment
Source: Self-asserted source
Stas Tiomkin

Education and qualifications (4)

University of California Berkeley College of Engineering: Berkeley, CA, US

post doctorate (Computer Science and Engineering)
Education
Source: Self-asserted source
Stas Tiomkin

Technion Israel Institute of Technology: Haifa, Haifa, IL

MSC (Computer and Electrical Engineering )
Education
Source: Self-asserted source
Stas Tiomkin

Hebrew University of Jerusalem: Jerusalem, IL

PhD (Computer Science and Engineering)
Education
Source: Self-asserted source
Stas Tiomkin

Hebrew University of Jerusalem: Jerusalem, IL

BSC (double major) (Computer Science and Engineering, Physics (double major))
Education
Source: Self-asserted source
Stas Tiomkin

Professional activities (6)

NeurIPS: NA, US

Source: Self-asserted source
Stas Tiomkin

IEEE: NA, US

Source: Self-asserted source
Stas Tiomkin

ICRA: NA, US

Source: Self-asserted source
Stas Tiomkin

ICML: NA, US

Source: Self-asserted source
Stas Tiomkin

ICLR: NA, US

Source: Self-asserted source
Stas Tiomkin

CoRL: NA, US

Source: Self-asserted source
Stas Tiomkin

Funding (1)

CRII: RI: Interpretable Framework and Transformative Applications for Viability in Autonomous Agents

Works (50 of 69)

Items per page:
Page 1 of 2

Average-Reward Reinforcement Learning Using Insights from Non-Equilibrium Statistical Mechanics

Bulletin of the American Physical Society
2024 | Journal article
Contributors: Adamczyk, Jacob; Arriojas Maldonado, Argenis; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems

IEEE Access
2024 | Journal article
Contributors: Derek Lilienthal; Paul Mello; Magdalini Eirinaki; Stas Tiomkin
Source: check_circle
Crossref

Intrinsic Motivation in Dynamical Control Systems

PRX Life
2024-08-29 | Journal article
Contributors: Stas Tiomkin; Ilya Nemenman; Daniel Polani; Naftali Tishby
Source: check_circle
Crossref

Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics

Uncertainty in Artificial Intelligence
2023 | Conference paper
Contributors: Arriojas, Argenis; Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Bounding the Optimal Value Function in Compositional Reinforcement Learning

arXiv preprint arXiv:2303.02557
2023 | Journal article
Contributors: Adamczyk, Jacob; Makarenko, Volodymyr; Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Bounding the Optimal Value Function in Compositional Reinforcement Learning

arXiv preprint arXiv:2303.02557
2023 | Journal article
Contributors: Adamczyk, Jacob; Makarenko, Volodymyr; Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning

arXiv preprint arXiv:2302.09676
2023 | Journal article
Contributors: Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning

arXiv preprint arXiv:2302.09676
2023 | Journal article
Contributors: Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems

arXiv preprint arXiv:2311.06438
2023 | Journal article
Contributors: Sharma, Suruchi; Makarenko, Volodymyr; Kumar, Gautam; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Dimensionality Reduction of Dynamics on Lie Manifolds via Structure-Aware Canonical Correlation Analysis

arXiv preprint arXiv:2311.10327
2023 | Journal article
Contributors: Chung, Wooyoung; Polani, Daniel; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Entropy regularized reinforcement learning using large deviation theory

Physical Review Research
2023 | Journal article
Contributors: Arriojas, Argenis; Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems

arXiv preprint arXiv:2311.03488
2023 | Journal article
Contributors: Lilienthal, Derek; Mello, Paul; Eirinaki, Magdalini; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Results from a Mapping Between Reinforcement Learning and Non-Equilibrium Statistical Mechanics

Bulletin of the American Physical Society
2023 | Journal article
Contributors: Adamczyk, Jacob; Arriojas Maldonado, Argenis; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Results from a Mapping Between Reinforcement Learning and Non-Equilibrium Statistical Mechanics

Bulletin of the American Physical Society
2023 | Journal article
Contributors: Adamczyk, Jacob; Arriojas Maldonado, Argenis; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Taming Waves: A Physically-Interpretable Machine Learning Framework for Realizable Control of Wave Dynamics

arXiv preprint arXiv:2312.09460
2023 | Journal article
Contributors: Shah, Tristan; Amirkulova, Feruza; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

The wave equation as a differentiable-programmable computer for the design of acoustic metamaterials

The Journal of the Acoustical Society of America
2023 | Journal article
Contributors: Shah, Tristan A; Tiomkin, Stas; Amirkulova, Feruza
Source: Self-asserted source
Stas Tiomkin

Entropy regularized reinforcement learning using large deviation theory

Physical Review Research
2023-05-10 | Journal article
Contributors: Argenis Arriojas; Jacob Adamczyk; Stas Tiomkin; Rahul V. Kulkarni
Source: check_circle
Crossref

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning Using Large Deviation Theory

APS March Meeting Abstracts
2022 | Conference paper
Contributors: Arriojas Maldonado, Argenis; Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning Using Large Deviation Theory

APS March Meeting Abstracts
2022 | Conference paper
Contributors: Arriojas Maldonado, Argenis; Adamczyk, Jacob; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Intrinsic Motivation in Dynamical Control Systems

arXiv preprint arXiv:2301.00005
2022 | Journal article
Contributors: Tiomkin, Stas; Nemenman, Ilya; Polani, Daniel; Tishby, Naftali
Source: Self-asserted source
Stas Tiomkin

Intrinsic Motivation in Dynamical Control Systems

arXiv preprint arXiv:2301.00005
2022 | Journal article
Contributors: Tiomkin, Stas; Nemenman, Ilya; Polani, Daniel; Tishby, Naftali
Source: Self-asserted source
Stas Tiomkin

Multi-Objective Policy Gradients with Topological Constraints

IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS2022
2022 | Conference paper
Contributors: Wray, Kyle Hollins; Tiomkin, Stas; Kochenderfer, Mykel J; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Multi-Objective Policy Gradients with Topological Constraints

IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS2022
2022 | Conference paper
Contributors: Wray, Kyle Hollins; Tiomkin, Stas; Kochenderfer, Mykel J; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Novel approaches and bounds for maximum entropy reinforcement learning using nonequilibrium statistical mechanics

APS March Meeting Abstracts
2022 | Conference paper
Contributors: Adamczyk, Jacob; Arriojas Maldonado, Argenis; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

Novel approaches and bounds for maximum entropy reinforcement learning using nonequilibrium statistical mechanics

APS March Meeting Abstracts
2022 | Conference paper
Contributors: Adamczyk, Jacob; Arriojas Maldonado, Argenis; Tiomkin, Stas; Kulkarni, Rahul
Source: Self-asserted source
Stas Tiomkin

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

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
2022 | Conference paper
Contributors: Adamczyk, Jacob; Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

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

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23)
2022 | Conference paper
Contributors: Adamczyk, Jacob; Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning

arXiv preprint arXiv:2106.03931
2021 | Journal article
Contributors: Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning

arXiv preprint arXiv:2106.03931
2021 | Journal article
Contributors: Arriojas, Argenis; Tiomkin, Stas; Kulkarni, Rahul V
Source: Self-asserted source
Stas Tiomkin

Efficient Empowerment Estimation for Unsupervised Stabilization

International Conference on Learning Representations, (ICLR), 2021
2021 | Conference paper
Contributors: Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Source: Self-asserted source
Stas Tiomkin

Efficient Empowerment Estimation for Unsupervised Stabilization

International Conference on Learning Representations, (ICLR), 2021
2021 | Conference paper
Contributors: Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin
Source: Self-asserted source
Stas Tiomkin

Gem: Group enhanced model for learning dynamical control systems

arXiv preprint arXiv:2104.02844
2021 | Journal article
Contributors: Hansen-Estruch, Philippe; Shang, Wenling; Pinto, Lerrel; Abbeel, Pieter; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Gem: Group enhanced model for learning dynamical control systems

arXiv preprint arXiv:2104.02844
2021 | Journal article
Contributors: Hansen-Estruch, Philippe; Shang, Wenling; Pinto, Lerrel; Abbeel, Pieter; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Ave: Assistance via empowerment

Advances in Neural Information Processing Systems
2020 | Journal article
Contributors: Du, Yuqing; Tiomkin, Stas; Kiciman, Emre; Polani, Daniel; Abbeel, Pieter; Dragan, Anca
Source: Self-asserted source
Stas Tiomkin

Ave: Assistance via empowerment

Advances in Neural Information Processing Systems
2020 | Journal article
Contributors: Du, Yuqing; Tiomkin, Stas; Kiciman, Emre; Polani, Daniel; Abbeel, Pieter; Dragan, Anca
Source: Self-asserted source
Stas Tiomkin

Dynamics generalization via information bottleneck in deep reinforcement learning

arXiv preprint arXiv:2008.00614
2020 | Journal article
Contributors: Lu, Xingyu; Lee, Kimin; Abbeel, Pieter; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Dynamics generalization via information bottleneck in deep reinforcement learning

arXiv preprint arXiv:2008.00614
2020 | Journal article
Contributors: Lu, Xingyu; Lee, Kimin; Abbeel, Pieter; Tiomkin, Stas
Source: Self-asserted source
Stas Tiomkin

Generalization via Information Bottleneck in Deep Reinforcement Learning

2020 | Dissertation or Thesis
Contributors: Lu, Xingyu; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Generalization via Information Bottleneck in Deep Reinforcement Learning

2020 | Dissertation or Thesis
Contributors: Lu, Xingyu; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Preventing imitation learning with adversarial policy ensembles

arXiv preprint arXiv:2002.01059
2020 | Journal article
Contributors: Zhan, Albert; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Preventing imitation learning with adversarial policy ensembles

arXiv preprint arXiv:2002.01059
2020 | Journal article
Contributors: Zhan, Albert; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents

2019 | Journal article
Contributors: Zhao, Ruihan; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Dynamical System Embedding for Efficient Intrinsically Motivated Artificial Agents

2019 | Journal article
Contributors: Zhao, Ruihan; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Learning efficient representation for intrinsic motivation

arXiv preprint arXiv:1912.02624
2019 | Journal article
Contributors: Zhao, Ruihan; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Learning efficient representation for intrinsic motivation

arXiv preprint arXiv:1912.02624
2019 | Journal article
Contributors: Zhao, Ruihan; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Predictive coding for boosting deep reinforcement learning with sparse rewards

arXiv preprint arXiv:1912.13414
2019 | Journal article
Contributors: Lu, Xingyu; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

Predictive coding for boosting deep reinforcement learning with sparse rewards

arXiv preprint arXiv:1912.13414
2019 | Journal article
Contributors: Lu, Xingyu; Tiomkin, Stas; Abbeel, Pieter
Source: Self-asserted source
Stas Tiomkin

The value-complexity trade-off for reinforcement-learning-based Brain Computer Interface

The Seventh International Brain-Computer Interface (BCI) Meeting
2018 | Conference paper
Contributors: H Levi Aharoni, M Moshkovitz, S Tiomkin, B Iluz, S Duanis, N Tishby
Source: Self-asserted source
Stas Tiomkin

The value-complexity trade-off for reinforcement-learning-based Brain Computer Interface

The Seventh International Brain-Computer Interface (BCI) Meeting
2018 | Conference paper
Contributors: H Levi Aharoni, M Moshkovitz, S Tiomkin, B Iluz, S Duanis, N Tishby
Source: Self-asserted source
Stas Tiomkin

A unified bellman equation for causal information and value in markov decision processes

arXiv preprint arXiv:1703.01585
2017 | Journal article
Contributors: Tiomkin, Stas; Tishby, Naftali
Source: Self-asserted source
Stas Tiomkin
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