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Related Articles from SNS
ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL
arXiv:2606.03017v1 Announce Type: new Abstract: Reward transfer in Inverse Reinforcement Learning (IRL) is unreliable when policies must generalize to unseen combinations of environment dynamics and task goals. We propose Factorized Contrastive Abstractions for Transferable IRL (ConTraIRL), a framework that enables compositional reward transfer by learning decoupled latent representations of these two factors. ConTraIRL uses a dual-encoder architecture that maps observations into separate...
A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
arXiv:2605.30843v1 Announce Type: new Abstract: In the forward reinforcement-learning problem, the reward is fixed and known; the learner is asked to find a good policy or value function. Here we turn the question around. Given offline data generated by an expert, can we recover the reward the expert was optimizing?
Anti-Vax Dating Apps Are Going IRL. People Are Mad as Hell About It
As a crowd of 60 anti-vaxxers squeezed into the upstairs dining area of Jonathan’s Grille in Nashville on a recent Monday night, a moment of pride washed over Scott Armstrong. Years ago, he had been let go from his job as a drug and alcohol counselor for refusing to get vaccinated. Now, unvaccinated people from all over the country were piling into the sports bar to meet others like them.
FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning
arXiv:2510.09222v3 Announce Type: replace Abstract: Flow Matching (FM) has shown remarkable ability in modeling complex distributions and achieves strong performance in offline imitation learning for cloning expert behaviors. However, despite its behavioral cloning expressiveness, FM-based policies are inherently limited by their lack of environmental interaction and exploration. This leads to poor generalization in unseen scenarios beyond the expert demonstrations, underscoring the...
IShowSpeed reveals FIFA World Cup opening game stream plans
IShowSpeed looks ready to bring his energy to one of the biggest sporting events in the world. According to the IShowSpeedHQ fan account on X, the popular streamer has scheduled a YouTube livestream titled “irl stream at World Cup Opening Game” for June 13, 2026, the day of the FIFA World Cup opening match. The update quickly caught the attention of fans who have followed Speed’s growing connection with football over the last few years.
Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach
arXiv:2605.30903v1 Announce Type: new Abstract: Inverse reinforcement learning (IRL) typically assumes demonstrations from a single optimal demonstrator, but in many applications data come from multiple imperfect demonstrators with heterogeneous suboptimality levels. We study reward learning in this setting through a feasible-reward-set framework: for each demonstrator, we encode its declared suboptimality level as a linear constraint and intersect the resulting feasible sets across...
Coherent Off-Policy Improvement of Large Behavior Models with Learned Rewards
Announce Type: new Abstract: Distilling expert demonstration data into large generative models using behavioral cloning is a scalable approach to learning capable policies for robotic control, particularly for dexterous manipulation. Reinforcement learning (RL) can be used as a means to finetune these policies further using additional experience. An open question is whether RL is more sample-efficient than collecting more human demonstrations.
Scientists ejected from diabetes conference for distributing journal reprints
Five leading scientists were ousted from the annual meeting of the American Diabetes Association (ADA) in New Orleans on Friday. Their crime: handing out copies of an editorial, published in the journal Diabetes Care on April 29, sharply criticizing the Trump administration's ongoing attacks on scientific research. Those ousted were Steven Kahn, professor of medicine at the University of Washington and editor-in-chief of Diabetes Care, who co-authored the published editorial; former ADA...
Scientists ejected from diabetes conference for distributing journal reprints
Five leading scientists were ousted from the annual meeting of the American Diabetes Association (ADA) in New Orleans on Friday. Their crime: handing out copies of an editorial, published in the journal Diabetes Care on April 29, sharply criticizing the Trump administration's ongoing attacks on scientific research. Those ousted were Steven Kahn, professor of medicine at the University of Washington and editor-in-chief of Diabetes Care, who co-authored the published editorial; former ADA...
Cybercrime Crew Claims It Hacked Mike Lindell’s MyPillow
The United States military has known for years that enemies could use location data to track troops’ phones—and it’s also long been aware of easy fixes for the problem. The Pentagon adopted almost none of these protections, though, in spite of admitting in a letter exposed this week that US adversaries are actually using the data to target soldiers in war. Meanwhile, US law enforcement warned this week about “anti-tech extremism” as AI backlash grows around the country.