1 citations · 1 across the 5 of their papers we have counts for
7 papers
BXRL: Behavior-Explainable Reinforcement Learning
Ram Rachum, Yotam Amitai, Yonatan Nakar +2
A major challenge of Reinforcement Learning is that agents often learn undesired behaviors that seem to defy the reward structure they were given. Explainable Reinforcement Learnin…
Characterizing and Testing Configuration Stability in Two-Dimensional Threshold Cellular Automata
Yonatan Nakar, Dana Ron
We consider the problems of characterizing and testing the stability of cellular automata configurations that evolve on a two-dimensional torus according to threshold rules with re…
Emergent Dominance Hierarchies in Reinforcement Learning Agents
Ram Rachum, Yonatan Nakar, Bill Tomlinson +2
Modern Reinforcement Learning (RL) algorithms are able to outperform humans in a wide variety of tasks. Multi-agent reinforcement learning (MARL) settings present additional challe…
Stubborn: An Environment for Evaluating Stubbornness between Agents with Aligned Incentives
Ram Rachum, Yonatan Nakar, Reuth Mirsky
Recent research in multi-agent reinforcement learning (MARL) has shown success in learning social behavior and cooperation. Social dilemmas between agents in mixed-sum settings hav…
The Structure of Configurations in One-Dimensional Majority Cellular Automata: From Cell Stability to Configuration Periodicity
Yonatan Nakar, Dana Ron
We study the dynamics of (synchronous) one-dimensional cellular automata with cyclical boundary conditions that evolve according to the majority rule with radius . We introduc…
Testing Dynamic Environments: Back to Basics
Yonatan Nakar, Dana Ron
We continue the line of work initiated by Goldreich and Ron (Journal of the ACM, 2017) on testing dynamic environments and propose to pursue a systematic study of the complexity of…
Tractability Frontiers in Multi-Robot Coordination and Geometric Reconfiguration
Tzvika Geft, Dan Halperin, Yonatan Nakar
We study the Monotone Sliding Reconfiguration (MSR) problem, in which pairwise interior-disjoint objects in a planar workspace need to be brought $\textit{one by…