3 citations · 8 across the 5 of their papers we have counts for
5 papers
Counterfactual Identifiability of Bijective Causal Models
Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
We study counterfactual identifiability in causal models with bijective generation mechanisms (BGM), a class that generalizes several widely-used causal models in the literature. W…
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf +2
We study online reinforcement learning (RL) in non-stationary environments, where a time-varying exogenous context process affects the environment dynamics. Online RL is challengin…
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen +1
Recent research has turned to Reinforcement Learning (RL) to solve challenging decision problems, as an alternative to hand-tuned heuristics. RL can learn good policies without the…
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation
Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany +3
We present CausalSim, a causal framework for unbiased trace-driven simulation. Current trace-driven simulators assume that the interventions being simulated (e.g., a new algorithm)…
Longest Chain Consensus Under Bandwidth Constraint
Joachim Neu, Srivatsan Sridhar, Lei Yang +2
Spamming attacks are a serious concern for consensus protocols, as witnessed by recent outages of a major blockchain, Solana. They cause congestion and excessive message delays in…