23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
Manish Aryal, Faiyaz Azam, Agnivo Banerjee +12
Classical reinforcement learning assumes the agent interacts with a fixed environment whose behavior does not depend on the agent's policy. This assumption breaks down in non-reali…
cs.AI2010★ 23 cited
The Complexity of Manipulating -Approval Elections
Andrew Lin
An important problem in computational social choice theory is the complexity of undesirable behavior among agents, such as control, manipulation, and bribery in election systems. T…