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CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
[article]
2020
arXiv
pre-print
To address both challenges, we restructure the problem into a novel two-stage curriculum, in which single-agent goal attainment is learned prior to learning multi-agent cooperation, and we derive a new ...
The complete architecture, called CM3, learns significantly faster than direct adaptations of existing algorithms on three challenging multi-goal multi-agent problems: cooperative navigation in difficult ...
Multiagent cooperation and competition with deep reinforcement learning. PloS one, 12(4), e0172395. Tan, M. (1993). Multi-agent reinforcement learning: Independent vs. cooperative agents. ...
arXiv:1809.05188v3
fatcat:dld5q6ycojcx7elo5ugou26bti
Collaborative Target Search with a Visual Drone Swarm: An Adaptive Curriculum Embedded Multi-stage Reinforcement Learning Approach
[article]
2022
arXiv
pre-print
In this work, we propose a data-efficient reinforcement learning-based approach, Adaptive Curriculum Embedded Multi-Stage Learning (ACEMSL), to address the challenges of carrying out a collaborative target ...
Meanwhile, with multi-stage learning, ACEMSL allows data-efficient training and individual-team reward allocation for the collaborative drone swarm. ...
In [19] , CM3 (Cooperative Multi-goal, Multi-stage, Multi-agent) was proposed for multi-agent reinforcement learning in 2D space to solve a collaborative navigation problem, where the positions of landmarks ...
arXiv:2204.12181v2
fatcat:wo5bis23uzb3zfzzdna2iwf4wq
Local Advantage Actor-Critic for Robust Multi-Agent Deep Reinforcement Learning
[article]
2021
arXiv
pre-print
Policy gradient methods have become popular in multi-agent reinforcement learning, but they suffer from high variance due to the presence of environmental stochasticity and exploring agents (i.e., non-stationarity ...
To this end, we propose a new multi-agent policy gradient method, called Robust Local Advantage (ROLA) Actor-Critic. ...
Zha, “Cm3:
Proceedings of the Conference on Robot Learning, November 2020. Cooperative multi-goal multi-stage multi-agent reinforcement learn-
[2] Y. C. ...
arXiv:2110.08642v3
fatcat:cgkvfeqzdjd6znwobewgarqct4
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
[article]
2020
arXiv
pre-print
A single policy is learned under the multi-agent reinforcement learning (MARL) setting via the curriculum learning strategy, which enables the agent to automatically infer other drivers' various behaviors ...
A masking mechanism is also proposed to prevent the agent from exploring states that violate common sense of human judgment and increase the learning efficiency. ...
[12] proposed a cooperative multi-goal multi-stage multiagent reinforcement learning (CM3) approach, which learns an actor and a double critic shared by all agents. ...
arXiv:1904.06025v2
fatcat:kvjwwdmwk5blzbypv434mj6qgy
A Review of Cooperative Multi-Agent Deep Reinforcement Learning
[article]
2021
arXiv
pre-print
Deep Reinforcement Learning has made significant progress in multi-agent systems in recent years. ...
In particular, we have focused on five common approaches on modeling and solving cooperative multi-agent reinforcement learning problems: (I) independent learners, (II) fully observable critic, (III) value ...
A graph convolutional reinforcement learning for cooperative multi-agent is proposed. ...
arXiv:1908.03963v4
fatcat:s2umqzxmqrhntkev3f6k554cv4
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
[article]
2020
arXiv
pre-print
Reinforcement learning (RL) is a popular paradigm for addressing sequential decision tasks in which the agent has only limited environmental feedback. ...
In this article, we present a framework for curriculum learning (CL) in reinforcement learning, and use it to survey and classify existing CL methods in terms of their assumptions, capabilities, and goals ...
Part of this work has taken place in the Learning Agents Research Group (LARG) at the Artificial Intelligence Laboratory, The University of Texas at Austin. LARG re- ...
arXiv:2003.04960v2
fatcat:iacmqeb7jjeezpo27jsnzuqb7u
'Value for Whom, by Whom': Investigating Value Constructs in Non-Profit Project Portfolios
2016
Project Management Research and Practice
The study extends our knowledge about strategic value and multi-stakeholder management in the non-profit sector. ...
Next, it deliberates the extent to which multi-stakeholder perspectives of value are discussed in the literature. ...
(CM3) You learn a lot by being involved in things. You actually grow as a person. (CM4) A further value construct involved the direct personal engagement of members with the project. ...
doi:10.5130/pmrp.v3i0.5038
fatcat:57p5kgysdbffdby2erdrtiehqm
Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates
2018
Zenodo
As a result, autonomous systems enabled by machine learning (e.g., deep neural nets for perception, reinforcement learning for control policies, and online model learning) lack rigorous safety assurance ...
-Explore formal approaches to verify correctness properties of autonomous software agents and use machine learning or similar artificial intelligence techniques to ensure safe and reliable autonomous agent ...
doi:10.5281/zenodo.1215599
fatcat:kxduvg6a5nflhf6iilkwnolobu
ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme
2012
Insights into Imaging
To learn how to differentiate ischaemia from inflammation. ...
Implementation and evaluation of multimodality molecular imaging technology producing multiparametric and multivariable techniques is reinforced. ...
To learn about the goal of each medical specialty in pancreatic tumours.
A-024 16:05 What the surgeon needs to know C. ...
doi:10.1007/s13244-012-0153-4
pmid:22696127
pmcid:PMC3481066
fatcat:te6ctbtakzh5njsw43geghw3ta
Deliverable 6.3 TOOLKIT FOR USE OF EDUCATIONAL MODULES
2020
Zenodo
Step B: Formulating learning goals. As a subsequent step, learning goals can be formulated for the competences identified. ...
None; learning goals and competences can be achieved during the course of the project
OPTIONS FOR MULTI-STAKEHOLDER ENGAGEMENT
Stakeholder Role envisaged in the activity There is room for all types ...
Tell the people that in this workshop all of the participants will make their own vacuum pump, test it out and learn how it connects with food preservation. ...
doi:10.5281/zenodo.4601638
fatcat:rvhk2o7gyvd63cq2vbkzl6iawe
EASIJ JOURNAL AUGUST 2020 SPECIAL ISSUE
2020
Zenodo
Multi-stage sampling procedure was used to select the sample for the study. ...
Multi-stage sampling procedure was used to select the sample for the study. ...
Forgetting is characteristic for this stage, and a systematic study of the person with the goal is appropriate. ...
doi:10.5281/zenodo.4031845
fatcat:qedklhrea5fnfoknixls3yslqm
Advancing Cutting Technology
2003
CIRP annals
Material removal processes can take place at considerably higher performance levels in the range up to Qw = 150 -1500 cm3/min for most workpiece materials at cutting speeds up to some 8.000 m/min. ...
This remains an illusive goal due to many challenges. ...
Now it is possible by CVD and PCVD techniques to synthesise new multi-component and multi-phase coatings for cemented carbide inserts and tools. ...
doi:10.1016/s0007-8506(07)60200-5
fatcat:mtvdom63drfxjjlh46umhkfnky
Integrating Climate Change into the Environmental Assessment Process: What is the Situation in African Francophone Countries?
2018
Environment and Ecology Research
Three global climate models used are ECHAM5 / MPIOM, CNRM-CM3 and IPSL-CM4. ...
The next example is provided by German technical cooperation tool. ...
doi:10.13189/eer.2018.060302
fatcat:l7f2mjbkw5bcncibqtrm7dstx4
Training Manual on Value Chain Analysis of Dryland Agricultural Commodities
2013
Social Science Research Network
Features
Producer Cooperative
Producer Company
Registration
Cooperative Societies Act
Companies Act
Objectives
Single Object
Multi Object
Membership
Open only to individuals and
cooperatives ...
Cooperatives: Cooperatives are the structures owned and managed by the producers. ...
doi:10.2139/ssrn.2281677
fatcat:jptwz3yegjexpjfgi6oo3zfmsm
Monitoring the Application
[chapter]
2015
Beginning Amazon Web Services with Node.js
We assumed a mean density of the ocean to be 1.0 g/cm3, a mean density of the crust to be 2.75 g/cm3, and a mean density of the mantle to be 3.3 g/cm3. ...
Most recently, we have extended Pursuit Evasion Game into a multi-agent pursuit Evasion Game in which multiple robotic pursuers collectively determine the location of multiple evaders, and try to corral ...
survey of the programmatic features of research experiences for undergraduates with the intent of learning what promotes women! ...
doi:10.1007/978-1-4842-0653-9_7
fatcat:b6s3wv3jcvf6xiniouokdhwtba
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