Limitation of time promotes cooperation in structured collaboration systems
Y. Zhang, J. Wang, G. Wen, J. Guan, S. Zhou, G. Chen, K. Chatterjee, M. Perc, IEEE Transactions on Network Science and Engineering 12 (2025) 4–12.

Reconfiguration using generalized token jumping
J.M. Kisan, J. Svoboda, in:, 19th International Conference and Workshops on Algorithms and Computation, Springer Nature, 2025, pp. 244–265.

Hardware-optimal quantum algorithms

Random zero-sum dynamic games on infinite directed graphs

1–2–3–Go! Policy synthesis for parameterized Markov decision processes via decision-tree learning and generalization
M. Azeem, D. Chakraborty, S. Kanav, J. Kretinsky, M. Mohagheghi, S. Mohr, M. Weininger, in:, 26th International Conference on Verification, Model Checking, and Abstract Interpretation, Springer Nature, 2025, pp. 97–120.

Time-dependent strategies in repeated asymmetric public goods games
V. Hübner, C. Hilbe, M. Staab, M. Kleshnina, K. Chatterjee, Dynamic Games and Applications (2025).

Marginal values of a stochastic game

Route discovery in private payment channel networks

Zero-sum random games on directed graphs
L. Attia, L. Lichev, D. Mitsche, R.J. Saona Urmeneta, B. Ziliotto, ArXiv (n.d.).

Reinforcement learning from reachability specifications: PAC guarantees with expected conditional distance
J. Svoboda, S. Bansal, K. Chatterjee, in:, 41st International Conference on Machine Learning, ML Research Press, 2024, pp. 47331–47344.

Density amplifiers of cooperation for spatial games
J. Svoboda, K. Chatterjee, Proceedings of the National Academy of Sciences of the United States of America 121 (2024).

Certified policy verification and synthesis for MDPs under distributional reach-avoidance properties
S. Akshay, K. Chatterjee, T. Meggendorfer, D. Zikelic, in:, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2024, pp. 3–12.

Solving long-run average reward robust MDPs via stochastic games
K. Chatterjee, E. Goharshady, M. Karrabi, P. Novotný, D. Zikelic, in:, 33rd International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2024, pp. 6707–6715.

Fully automated selfish mining analysis in efficient proof systems blockchains
K. Chatterjee, A. Ebrahimzadeh, M. Karrabi, K.Z. Pietrzak, M.X. Yeo, D. Zikelic, in:,  Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2024, pp. 268–278.

Game dynamics and equilibrium computation in the population protocol model
D.-A. Alistarh, K. Chatterjee, M. Karrabi, J.M. Lazarsfeld, in:, Proceedings of the 43rd Annual ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2024, pp. 40–49.

Quantitative bounds on resource usage of probabilistic programs
K. Chatterjee, A.K. Goharshady, T. Meggendorfer, D. Zikelic, Proceedings of the ACM on Programming Languages 8 (2024).

Equivalence and similarity refutation for probabilistic programs
K. Chatterjee, E. Goharshady, P. Novotný, D. Zikelic, Proceedings of the ACM on Programming Languages 8 (2024).

Weighted packet selection for rechargeable links in cryptocurrency networks: Complexity and approximation
S. Schmid, J. Svoboda, M.X. Yeo, Theoretical Computer Science 989 (2024).

On the convergence time in graphical games: A locality-sensitive approach

Sound and complete witnesses for template-based verification of LTL properties on polynomial programs
K. Chatterjee, A.K. Goharshady, E. Goharshady, M. Karrabi, D. Zikelic, in:, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, 2024, pp. 600–619.