research
∙
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 ...
share
research
∙
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...
research
∙
07/22/2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs
Goal-Conditioned Hierarchical Reinforcement Learning (GCHRL) is a promis...
research
∙
05/10/2023
Mixture of personality improved Spiking actor network for efficient multi-agent cooperation
Adaptive human-agent and agent-agent cooperation are becoming more and m...
research
∙
05/04/2023
Explainable Reinforcement Learning via a Causal World Model
Generating explanations for reinforcement learning (RL) is challenging a...
research
∙
01/17/2022
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
Many real-world scenarios involve a team of agents that have to coordina...
research
∙
09/20/2021