1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Hindsight-Anchored Policy Optimization: Learning Through Hindsight with Thompson Sampling-Inspired Adaptive Gating
Yuning Wu, Ke Wang, Haoran Liu +3
Reinforcement Learning with Verifiable Rewards improves reasoning in large language models, yet on-policy learning often suffers from cold-start challenges in sparse-reward setting…
cs.LG2024★ 1 cited
Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
Bobby Chen, Siyu Chen, Jason Dowlatabadi +15
Budget allocation of marketplace levers, such as incentives for drivers and promotions for riders, has long been a technical and business challenge at Uber; understanding lever bud…