In this paper, we provide a gradient-based distributed policy search method for cooperative games and com pare the notion of local optimum to that of Nash.
Aug 7, 2014 · In this paper, we provide a gradient-based distributed policy-search method for cooperative games and compare the notion of local optimum to ...
In this paper, we provide a gradient-based distributed policy-search method for cooperative games and compare the notion of local optimum to that of Nash ...
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(PDF) Learning to Cooperate via Policy Search - ResearchGate
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In this paper, we provide a gradient-based distributed policysearch method for cooperative games and compare the notion of local optimum to that of Nash ...
This paper provides a gradient-based distributed policy-search method for cooperative games and compares the notion of local optimum to that of Nash ...
Jun 30, 2000 · Recommendations · Guided policy search via approximate mirror descent · Verifiable reinforcement learning via policy extraction · Direct Policy ...
Apr 21, 2022 · Does the policy search work if there is no state to state dependency through actions? ... Do the optimal weights be learned that make the agent ...
Missing: Cooperate via
This paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode.
In this thesis we address the problem of emergence of cooperation between agents that operate in a simulated environment, where they need to accomplish a ...
Recently however, there has been an increasing interest in another method of reinforcement learning, namely policy search. ... Learning to cooperate via policy ...