Team-Partitioned, Opaque-Transition Reinforcement Learning

Team-Partitioned, Opaque-Transition Reinforcement Learning

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by Peter Stone , Manuela Veloso

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@MISC{Stone_team-partitioned,opaque-transition,
    author = {Peter Stone and Manuela Veloso},
    title = {Team-Partitioned, Opaque-Transition Reinforcement Learning},
    year = {}
}

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Abstract

We present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the use of action-dependent features...

Citations

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65	A layered approach to learning client behaviours in the RoboCup soccer server - Stone, Veloso - 1998
47	Towards collaborative and adversarial learning: A case study in robotic soccer - Stone, Veloso - 1998
30	Using decision tree confidence factors for multi-agent control - Stone, Veloso - 1998
23	Learning team strategies: Soccer case studies - Salustowicz, Wiering, et al. - 1998
22	S.: The CMUnited-97 small robot team - Veloso, Stone, et al. - 1998
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1	Coevolving soccer softhot team coordination with genetic programming - Luke, Hohn, et al.
1	Towards collaborativc and advcrsarial learning: A case study in robotic soccer - Stone, Vcloso - 1998
1	and Manucla Vcloso. Using decision trcc confidence factors for multiagent control - Stone - 1998