4 papers · 1 filter
Inter-Agent Relative Representations for Multi-Agent Option Discovery
Raul D. Steleac, Mohan Sridharan, David Abel
Temporally extended actions improve the ability to explore and plan in single-agent settings. In multi-agent settings, the exponential growth of the joint state space with the numb…
Fairness over Equality: Correcting Social Incentives in Asymmetric Sequential Social Dilemmas
Alper Demir, Hüseyin Aydın, Kale-ab Abebe Tessera +2
Sequential Social Dilemmas (SSDs) provide a key framework for studying how cooperation emerges when individual incentives conflict with collective welfare. In Multi-Agent Reinforce…
Memory Allocation in Resource-Constrained Reinforcement Learning
Massimiliano Tamborski, David Abel
Resource constraints can fundamentally change both learning and decision-making. We explore how memory constraints influence an agent's performance when navigating unknown environm…
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
Andi Peng, Yuying Sun, Tianmin Shu +1
Humans use social context to specify preferences over behaviors, i.e. their reward functions. Yet, algorithms for inferring reward models from preference data do not take this soci…