Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
Learning, planning, and representing knowledge at multiple levels of temporal abstraction
are key, longstanding challenges for AI. In this paper we consider how these challenges can …
are key, longstanding challenges for AI. In this paper we consider how these challenges can …
Multiagent systems: A survey from a machine learning perspective
Abstract Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than
two decades. DAI is concerned with systems that consist of multiple independent entities that …
two decades. DAI is concerned with systems that consist of multiple independent entities that …
Robocup: The robot world cup initiative
Abstract The Robot World Cup Initiative (RoboCup) is an attempt to foster AI and intelligent
robotics research by providing a standard problem where wide range of technologies can be …
robotics research by providing a standard problem where wide range of technologies can be …
RoboCup: A challenge problem for AI
Abstract The Robot World-Cup Soccer (RoboCup) is an attempt to foster AI and intelligent
robotics research by providing a standard problem where a wide range of technologies can …
robotics research by providing a standard problem where a wide range of technologies can …
[BOOK][B] Layered learning in multiagent systems
PH Stone - 1998 - search.proquest.com
Multi-agent systems in complex, real-time domains require agents to act effectively both
autonomously and as part of a team. This dissertation addresses multi-agent systems …
autonomously and as part of a team. This dissertation addresses multi-agent systems …
Modular deep reinforcement learning from reward and punishment for robot navigation
Abstract Modular Reinforcement Learning decomposes a monolithic task into several tasks
with sub-goals and learns each one in parallel to solve the original problem. Such learning …
with sub-goals and learns each one in parallel to solve the original problem. Such learning …
Soccer server: A tool for research on multiagent systems
This article describes Soccer Server, a simulator of the game of soccer designed as a
benchmark for evaluating multiagent systems and cooperative algorithms. In real life …
benchmark for evaluating multiagent systems and cooperative algorithms. In real life …
Human-robot collaborative high-level control with application to rescue robotics
Motivated by the DARPA Robotics Challenge (DRC), the application of operator assisted
(semi-) autonomous robots with highly complex locomotion and manipulation abilities is …
(semi-) autonomous robots with highly complex locomotion and manipulation abilities is …
Robocup: A challenge problem for ai and robotics
RoboCup is an attempt to foster AI and intelligent robotics research by providing a standard
problem where wide range of technologies can be integrated and examined. The first …
problem where wide range of technologies can be integrated and examined. The first …
Leveraging task modularity in reinforcement learning for adaptable industry 4.0 automation
The vision of Industry 4.0 is to materialize the notion of a lot-size of one through enhanced
adaptability and resilience of manufacturing and logistics operations to dynamic changes or …
adaptability and resilience of manufacturing and logistics operations to dynamic changes or …