2020
Bibliographic References tagged with 2020
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M. Neuder, D. J. Moroz, R. Rao, and D. C. Parkes,
“Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders”, in In Proc. of WINE 2020 Workshop on Game Theory in Blockchain., 2020.
M. Neuder, D. J. Moroz, R. Rao, and D. C. Parkes,
“Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders”, in In Proc. of WINE 2020 Workshop on Game Theory in Blockchain., 2020.
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
“Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems”, in Cryptoeconomic Systems (CES) Conference 2020, 2020.
D. J. Moroz, D. J. Aronoff, N. Narula, and D. C. Parkes,
“Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems”, in Cryptoeconomic Systems (CES) Conference 2020, 2020.
M. Neuder, D. J. Moroz, R. Rao, and D. C. Parkes,
“Selfish Behavior in the Tezos Proof-of-Stake Protocol”, in Cryptoeconomic Systems (CES) Conference 2020, 2020.
M. Neuder, D. J. Moroz, R. Rao, and D. C. Parkes,
“Selfish Behavior in the Tezos Proof-of-Stake Protocol”, in Cryptoeconomic Systems (CES) Conference 2020, 2020.
S. A. Wu, R. E. Wang, J. A. Evans, J. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too many cooks: Coordinating multi-agent collaboration through inverse planning”, in Proc. 42nd Annual Meeting of the Cognitive Science Society, 2020, pp. 889–895.
S. A. Wu, R. E. Wang, J. A. Evans, J. Tenenbaum, D. C. Parkes, and M. Kleiman-Weiner,
“Too many cooks: Coordinating multi-agent collaboration through inverse planning”, in Proc. 42nd Annual Meeting of the Cognitive Science Society, 2020, pp. 889–895.
N. Rosenfeld, A. Szanto, and D. C. Parkes,
“A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone”, in Proceedings of the 29th World Wide Web Conference (WWW 2020), 2020, pp. 1018–1028.
N. Rosenfeld, A. Szanto, and D. C. Parkes,
“A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone”, in Proceedings of the 29th World Wide Web Conference (WWW 2020), 2020, pp. 1018–1028.
P. Tylkin, G. Radanovic, and D. C. Parkes,
“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in NeurIPS 2020 workshop on Cooperative AI, 2020.
P. Tylkin, G. Radanovic, and D. C. Parkes,
“Learning Robust Helpful Behaviors in Two-Player Cooperative Atari Environments”, in NeurIPS 2020 workshop on Cooperative AI, 2020.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, ACM Transactions on Economics and Computation, vol. 8, no. 1, pp. 2:1–2:34, 2020.
A. Agarwal, D. Mandal, D. C. Parkes, and N. Shah,
“Peer Prediction with Heterogeneous Users”, ACM Transactions on Economics and Computation, vol. 8, no. 1, pp. 2:1–2:34, 2020.
H. Ma, R. Meir, D. C. Parkes, and E. Wu-Yan,
“Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias”, in , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 807–815.
H. Ma, R. Meir, D. C. Parkes, and E. Wu-Yan,
“Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present-Bias”, in , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 807–815.
H. Chan, D. C. Parkes, and K. R. Lakhani,
“The Price of Anarchy of Self-Selection in Tullock Contests (Extended Abstract)”, in , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 1795–1797.
H. Chan, D. C. Parkes, and K. R. Lakhani,
“The Price of Anarchy of Self-Selection in Tullock Contests (Extended Abstract)”, in , Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 2020, pp. 1795–1797.
S. Keren, S. Bernardini, K. Kwapong, and D. C. Parkes,
“Reasoning about plan robustness versus plan cost for partially informed agents.”, in Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, 2020, pp. 550–559.
S. Keren, S. Bernardini, K. Kwapong, and D. C. Parkes,
“Reasoning about plan robustness versus plan cost for partially informed agents.”, in Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, KR 2020, 2020, pp. 550–559.