MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion | Paper Citation Record

Observation 77978675-00ca-4485-8090-d5e4154448f3 · outbound

This paper cites HOVER: Versatile neural whole-body controller for humanoid robots,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion HOVER: Versatile neural whole-body controller for humanoid robots,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.115929Z

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Observation a7977c1f-a96e-4aa1-8d43-42653518fb8a · outbound

This paper cites Distributional policy gradient with distributional value function,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Distributional policy gradient with distributional value function,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.098429Z

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Observation fe4023d4-eb8b-4e26-a495-6bf5f45352f6 · outbound

This paper cites Walk these ways: Tuning robot control for generalization with multiplicity of behavior,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Walk these ways: Tuning robot control for generalization with multiplicity of behavior,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.081654Z

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Observation 985e80ca-683d-4f4e-bf17-4fa640ee2d8b · outbound

This paper cites Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagination via deep reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Dreamwaq: Learning robust quadrupedal locomotion with implicit terrain imagination via deep reinforcement learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.063656Z

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Observation 7c9e068d-c598-4426-a027-ebc4b4664807 · outbound

This paper cites Biped dynamic walking using reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Biped dynamic walking using reinforcement learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.045484Z

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Observation c396c3dd-413b-41e3-8349-abb58f1d29e6 · outbound

This paper cites Learning vision-based bipedal locomotion for challeng- ing terrain,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Learning vision-based bipedal locomotion for challeng- ing terrain,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:31.024478Z

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Observation 0ee0e265-40be-47bb-83e0-2ab770211a81 · outbound

This paper cites Motor anomaly detection for unmanned aerial vehicles using reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Motor anomaly detection for unmanned aerial vehicles using reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.993595Z

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Observation c919e3cd-cf6a-4840-a824-a510f9f64f00 · outbound

This paper cites Optimization-based control for dynamic legged robots,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Optimization-based control for dynamic legged robots,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.972502Z

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Observation 6b8305bd-9467-4bbb-a3b7-aca9f7e45c64 · outbound

This paper cites Versatile multicontact planning and control for legged loco-manipulation,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Versatile multicontact planning and control for legged loco-manipulation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:27.279483Z

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Observation 34a470d6-66e6-426a-89b5-32f07bea1041 · outbound

This paper cites Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Combining trajectory optimization, supervised machine learning, and model structure for mitigating the curse of dimensionality in the control of bipedal robots,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:27.398322Z

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Observation db20e7da-e494-42b6-9fa5-c72d95d9758c · outbound

This paper cites Real-world humanoid locomotion with reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Real-world humanoid locomotion with reinforcement learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:27.567294Z

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Observation 796fbf8d-98bb-459e-9f76-c6f243150cdc · outbound

This paper cites Not only rewards but also constraints: Applications on legged robot locomotion,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Not only rewards but also constraints: Applications on legged robot locomotion,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:27.661298Z

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Observation 4c7eb530-016d-42ac-9dea-1a50c79ae653 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via ac- tion diffusion,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Diffusion policy: Visuomotor policy learning via ac- tion diffusion,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:27.776297Z

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Observation deca8a10-e073-4628-953f-b38508e1f524 · outbound

This paper cites Learning-based legged locomotion: State of the art and future perspectives,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Learning-based legged locomotion: State of the art and future perspectives,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.888448Z

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Observation 4becff69-4421-4263-b090-a7df74190e7a · outbound

This paper cites Learning whole-body loco-manipulation for omni-directional task space pose tracking with a wheeled-quadrupedal-manipulator,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Learning whole-body loco-manipulation for omni-directional task space pose tracking with a wheeled-quadrupedal-manipulator,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.870338Z

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Observation 46252b04-f802-4a0a-88e7-4d329b2778cf · outbound

This paper cites Learning agile soccer skills for a bipedal robot with deep reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Learning agile soccer skills for a bipedal robot with deep reinforcement learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.853551Z

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Observation cd324124-89f6-4c88-95c0-b2eacca536ee · outbound

This paper cites Visual whole-body control for legged loco-manipulation,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Visual whole-body control for legged loco-manipulation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.837324Z

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Observation bbbe3bc7-956b-48c5-b565-3979b034076e · outbound

This paper cites Teleoperation of humanoid robots: A survey,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Teleoperation of humanoid robots: A survey,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.822545Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b80c870b-c2c3-448b-bcea-1eaf90a43018 · outbound

This paper cites Sim-to-real robotic sketching using behavior cloning and reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Sim-to-real robotic sketching using behavior cloning and reinforcement learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.805259Z

Source-reported events for the cited work

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Observation a823bc1a-a4d1-4025-b640-27f1e7692334 · outbound

This paper cites A composite control strategy for quadruped robot by integrating reinforcement learning and model-based control,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion A composite control strategy for quadruped robot by integrating reinforcement learning and model-based control,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.787160Z

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Observation edfb33f5-fe21-4ca7-b58f-03b78e567cab · outbound

This paper cites Towards human-level bimanual dexterous manipulation with reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Towards human-level bimanual dexterous manipulation with reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.770371Z

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Observation 3ea2df64-31e5-4e72-b1f1-1387ac8df8af · outbound

This paper cites Monotonic value function factorisation for deep multi- agent reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Monotonic value function factorisation for deep multi- agent reinforcement learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.753663Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c4e3bfc-c2bd-4179-8d5b-6abc35ee01bf · outbound

This paper cites Data efficient deep reinforcement learning with action-ranked temporal difference learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Data efficient deep reinforcement learning with action-ranked temporal difference learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.736318Z

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Observation 578cc9d9-97ad-47af-97ce-8f23987a7746 · outbound

This paper cites MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:30:30.324419Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e95550f3-e507-4b68-b817-530007f7ea10 · outbound

This paper cites Expressive whole-body control for humanoid robots,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Expressive whole-body control for humanoid robots,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.719256Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33c3c267-bcbf-482c-ac3e-13ba11571aa4 · outbound

This paper cites Mobile-television: Predictive motion priors for hu- manoid whole-body control,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Mobile-television: Predictive motion priors for hu- manoid whole-body control,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.697923Z

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Observation c211d33c-216c-4a26-977a-e24b062e3fac · outbound

This paper cites Wococo: Learning whole-body humanoid control with sequential contacts,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Wococo: Learning whole-body humanoid control with sequential contacts,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.677407Z

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Observation 58e79e0c-8b28-4c1c-a432-294f41703d36 · outbound

This paper cites Learning human-to-humanoid real-time whole-body teleoperation,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Learning human-to-humanoid real-time whole-body teleoperation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.659984Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a15a4892-8a69-4a42-8efe-d4763eda588c · outbound

This paper cites Humanplus: Humanoid shadowing and imitation from humans,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Humanplus: Humanoid shadowing and imitation from humans,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.640690Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e493578-05f6-4ac4-85d4-c5190a5de706 · outbound

This paper cites Okami: Teaching humanoid robots manipulation skills through single video imitation,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Okami: Teaching humanoid robots manipulation skills through single video imitation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.624099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4883b107-7c53-4dc5-b71c-e1776702102c · outbound

This paper cites OmniH2O: Universal and dexterous human-to- humanoid whole-body teleoperation and learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion OmniH2O: Universal and dexterous human-to- humanoid whole-body teleoperation and learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.606108Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bd3bae68-5775-4fe0-afac-cf3684981887 · outbound

This paper cites Perpetual humanoid control for real-time simulated avatars,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Perpetual humanoid control for real-time simulated avatars,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:30.035721Z

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Observation 12984db4-c843-4ea9-8300-f16881223180 · outbound

This paper cites Robust and versatile bipedal jumping control through reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Robust and versatile bipedal jumping control through reinforcement learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.576370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d69fa8f1-b5db-4d51-9298-7c8e8479ace1 · outbound

This paper cites Feedback control for cassie with deep reinforcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Feedback control for cassie with deep reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.560029Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 069b8b47-abbf-4977-ae2a-80882c267943 · outbound

This paper cites Sim-to-real learning of all common bipedal gaits via periodic reward composition,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Sim-to-real learning of all common bipedal gaits via periodic reward composition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.543052Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0efdb97-5646-43d2-8fc7-8d0310bd2377 · outbound

This paper cites Amp: Adversarial motion priors for stylized physics-based character control,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Amp: Adversarial motion priors for stylized physics-based character control,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.523071Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d23ade03-2480-4779-9685-53f1e942aa9c · outbound

This paper cites Advancing humanoid locomotion: Mastering challenging terrains with denoising world model learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Advancing humanoid locomotion: Mastering challenging terrains with denoising world model learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.501610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b35ec145-653e-4fa0-8472-c6763c42a85b · outbound

This paper cites Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Reinforcement learning for swarm robotics: An overview of applications, algorithms and simulators,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.480618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d7d7353-b146-4285-a9bf-f050193c4721 · outbound

This paper cites Smarts: An open-source scalable multi-agent rl training school for autonomous driving,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Smarts: An open-source scalable multi-agent rl training school for autonomous driving,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.460116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 68817526-329f-484e-bd46-8fcd099f7438 · outbound

This paper cites Optimal tethered-uav deployment in a2g communication networks: Multi-agent q-learning approach,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Optimal tethered-uav deployment in a2g communication networks: Multi-agent q-learning approach,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.441939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14e78a57-7704-4df5-badf-01df49855e08 · outbound

This paper cites Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:30:30.294226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1d5d281-6f41-495d-b014-22f98124cffd · outbound

This paper cites an unresolved cited work.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:30.169226Z

Source-reported events for the cited work

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Observation b0364da9-194a-4e12-940b-d733d99dcb95 · outbound

This paper cites Proximal Policy Optimization Algorithms.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Proximal Policy Optimization Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T20:30:30.174196Z

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Observation cbe5f669-2f7d-4588-8e75-28bf798b0af0 · outbound

This paper cites Pomdps for robotic tasks with mixed observability.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Pomdps for robotic tasks with mixed observability

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.405800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29ca6b55-c894-4014-b506-112b19d6c1eb · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion The surprising effectiveness of ppo in cooperative multi-agent games,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.381407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9dd80522-a6bc-4869-8701-4b789a0946cb · outbound

This paper cites Stabilising experience replay for deep multi-agent rein- forcement learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Stabilising experience replay for deep multi-agent rein- forcement learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.362079Z

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Observation 90a0c123-743d-4d53-b95a-8c19013752fc · outbound

This paper cites Isaac gym: High performance gpu based physics simulation for robot learning,.

MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion Isaac gym: High performance gpu based physics simulation for robot learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:30:30.344647Z

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