178 search results - page 22 / 36 » Probabilistic policy reuse in a reinforcement learning agent |
CIA
2007
Springer
14 years 2 months ago
2007
Springer
When two or more agents interacting, their behaviors are not necessarily matching. Automated ways to overcome con icts in the behavior of agents can make the execution of interacti...
SASO
2009
IEEE
14 years 3 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
AAAI
2006
13 years 10 months ago
2006
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
FLAIRS
2003
13 years 10 months ago
2003
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...