16 citations · 75 across the 20 of their papers we have counts for
4 papers · 1 filter
SS-MAIL: Self-Supervised Multi-Agent Imitation Learning
Akshay Dharmavaram, Tejus Gupta, Jiachen Li +1
The current landscape of multi-agent expert imitation is broadly dominated by two families of algorithms - Behavioral Cloning (BC) and Adversarial Imitation Learning (AIL). BC appr…
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Xinzhi Wang, Huao Li, Hui Zhang +2
Recently, there has been increasing interest in transparency and interpretability in Deep Reinforcement Learning (DRL) systems. Verbal explanations, as the most natural way of comm…
Natural Emergence of Heterogeneous Strategies in Artificially Intelligent Competitive Teams
Ankur Deka, Katia Sycara
Multi agent strategies in mixed cooperative-competitive environments can be hard to craft by hand because each agent needs to coordinate with its teammates while competing with its…
Learning Time-Sensitive Strategies in Space Fortress
Akshat Agarwal, Ryan Hope, Katia Sycara
Although there has been remarkable progress and impressive performance on reinforcement learning (RL) on Atari games, there are many problems with challenging characteristics that…