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08/07/2023
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents
With recent advancements in natural language processing, Large Language ...
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07/28/2023
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning
Multi-agent systems require effective coordination between groups and in...
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05/13/2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems
Asynchronous action coordination presents a pervasive challenge in Multi...
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12/30/2022
Transformer in Transformer as Backbone for Deep Reinforcement Learning
Designing better deep networks and better reinforcement learning (RL) al...
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10/17/2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning
Centralized Training with Decentralized Execution (CTDE) has been a very...
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11/17/2021
SEIHAI: A Sample-efficient Hierarchical AI for the MineRL Competition
The MineRL competition is designed for the development of reinforcement ...
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06/07/2021
Towards robust and domain agnostic reinforcement learning competitions
Reinforcement learning competitions have formed the basis for standard r...
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06/01/2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Extending transfer learning to cooperative multi-agent reinforcement lea...
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03/05/2020
Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing
In cooperative multi-agent reinforcement learning (MARL), how to design ...
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12/03/2019
Learning Agent Communication under Limited Bandwidth by Message Pruning
Communication is a crucial factor for the big multi-agent world to stay ...
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02/26/2019
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing
Communication is an important factor for the big multi-agent world to st...
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11/13/2018
Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG
Modelling and exploiting teammates' policies in cooperative multi-agent ...
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06/10/2017