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10/23/2021
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning
We propose a fully distributed actor-critic architecture, named Diff-DAC...
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10/09/2019
Compatible features for Monotonic Policy Improvement
Recent policy optimization approaches have achieved substantial empirica...
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05/16/2019
Adaptive Sensor Placement for Continuous Spaces
We consider the problem of adaptively placing sensors along an interval ...
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01/30/2019
Coordinating the Crowd: Inducing Desirable Equilibria in Non-Cooperative Systems
Many real-world systems such as taxi systems, traffic networks and smart...
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03/13/2018
Decentralised Learning in Systems with Many, Many Strategic Agents
Although multi-agent reinforcement learning can tackle systems of strate...
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10/28/2017
Diff-DAC: Distributed Actor-Critic for Average Multitask Deep Reinforcement Learning
We propose a fully distributed actor-critic algorithm approximated by de...
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10/28/2017
Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning
We propose a multiagent distributed actor-critic algorithm for multitask...
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07/28/2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity
The key challenge in multiagent learning is learning a best response to ...
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03/15/2012
