9 search results - page 1 / 2 » Counterfactual Exploration for Improving Multiagent Learning |
ATAL
2008
Springer
13 years 6 months ago
2008
Springer
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that a...
IJCAI
1997
13 years 6 months ago
1997
Agents that operate in a multi-agent system can benefit significantly from adapting to other agents while interacting with them. This work presents a general architecture for a ...
AIIDE
2008
13 years 7 months ago
2008
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...