50 citations · 80 across the 22 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning With Reward Machines in Stochastic Games
Jueming Hu, Jean-Raphael Gaglione, Yanze Wang +3
We investigate multi-agent reinforcement learning for stochastic games with complex tasks, where the reward functions are non-Markovian. We utilize reward machines to incorporate h…
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil +2
We investigate the problem of autonomous racing among teams of cooperative agents that are subject to realistic racing rules. Our work extends previous research on hierarchical con…
Hierarchical Control for Head-to-Head Autonomous Racing
Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil +2
We develop a hierarchical controller for head-to-head autonomous racing. We first introduce a formulation of a racing game with realistic safety and fairness rules. A high-level pl…