Mar 21, 2020 · We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed multi-agent RL approaches.
We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed multi-agent RL ...
May 13, 2020 · We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed ...
Mar 21, 2020 · We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). We propose two distributed multi ...
Apr 21, 2022 · This article proposes a control framework for cooperative robot manipulation based on distributed optimisation.
Apr 2, 2024 · This paper presents Task-priority Intermediated Hierarchical Distributed Policies (TIHDP), a multi-agent Reinforcement Learning (RL) framework that addresses ...
We present simulation results where swarms of various sizes successfully construct different test structures without the need for additional training. Keywords: ...
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We consider solving a cooperative multi-robot object manipulation task using reinforcement learning (RL). Object · Q-Learning +3.
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In this paper, we propose a distributed dynamic correlation matrix based multi-Q (D-DCM-Multi-Q) learning method for multi-robot systems.
Duration: 3:24
Posted: Nov 26, 2019
Posted: Nov 26, 2019