Autonomous driving has emerged as one of the most active areas research it promise making transportation safer and more efficient than ever before. Most real-world autonomous pipelines perform perception, motion planning action in a loop. In this work we present MADRaS, an open-source multi-agent simulator for use design evaluation algorithms driving. Given start goal state, task is to solve se...

We present the eleventh edition of the Multi-Agent Programming Contest, an annual, community-serving competition that attracts groups from all over the world. Our contest enables head-to-head comparison of multi-agent systems and supports educational efforts in their design and implementation.

This paper investigates the problem of policy learn-ing in multiagent environments using the stochasticgame framework, which we briefly overview. Weintroduce two properties as desirable for a learningagent when in the presence of other learning agents,namely rationality and convergence. We examineexisting reinforcement learning algorithms accord-ing to these two prop...

Intelligent and autonomous agents is a subarea of symbolic artificial intelligence where these decide, either reactively or proactively, upon course action by reasoning about the information that available world (including environment, agent itself, other agents). It encompasses multitude techniques, such as negotiation protocols, simulation, multi-agent argumentation, planning, many others. In...