Good Papers

Showing Game playing Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Virginia TechVirginia Polytechnic Institute aGame playing

Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games

Manoj Saravanan, Rohit Kumar Salla, Shrikar Reddy Kota

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Shanghai University of Finance aSingapore university of technoloTsinghuaGame playing

Payoff-Aware Prediction of Population Game Dynamics

Kang Wang, Xiao Wang, Bo Li, Renzhe Xu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026HarvardSimulacrumGame playing

Computational Dynamic Mechanism Design

Sadie Zhao, Amy Greenwald, Yanchen Jiang, Denizalp Goktas and 1 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026MITCarnegie MellonNew YorkOpenAIMassachusetts Institute of TechnGame playing

A Regularization-Based Approach to Public Belief State Search for Adversarial Games

Sobhan Mohammadpour, Samuel Sokota, Brandon Kaplowitz, Zico Kolter and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The Pennsylvania StateResearcherInstitute of Information SciencePennsylvania StateGame playing

Search-Tree Scaling in Parallel Monte Carlo Tree Search

Scott Cheng, Meng-Yu Tsai, Ding-Yong Hong, Mahmut T Kandemir

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026KAISTKorea Advanced Institute of ScieKorea Advanced Institute of ScieGame playing

AGiR: Mitigating Gift Over-Reliance in Mixed-Motive Games

Woohyeon Byeon, Seongmin Kim, Jiwon Jeon, Woojun Kim and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
71%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026ColumbiaAllometry LabsMassachusetts Institute of TechnGame playing

Outbidding and Outbluffing Elite Humans: Mastering Liar’s Poker via Self-Play and Reinforcement Learning

Solly achieves elite human-level play in multi-player Liar's Poker via self-play reinforcement learning, outperforming both humans and large language models.

Richard Dewey, Janos Botyanszki, Ciamac C Moallemi, Andrew Zheng

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 1/5
71%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026Tel AvivGame playing

Playing Markov Games Without Observing Payoffs

The paper introduces symmetric zero-sum Markov games and shows that observing only opponent actions allows asymptotically matching adversarial returns without payoff observations via online learning.

Daniel Ablin, Alon Peled-Cohen

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
7/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 7 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 2/5