343 search results - page 42 / 69 » Action discovery for reinforcement learning |
NIPS
2001
13 years 9 months ago
2001
In packet switches, packets queue at switch inputs and contend for outputs. The contention arbitration policy directly affects switch performance. The best policy depends on the c...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
We explore dynamic shaping to integrate our prior beliefs of the final policy into a conventional reinforcement learning system. Shaping provides a positive or negative artificial...
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
— Multi-agent systems (MAS) are a field of study of growing interest in a variety of domains such as robotics or distributed controls. The article focuses on decentralized reinf...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Imitation can be viewed as a means of enhancing learning in multiagent environments. It augments an agent’s ability to learn useful behaviors by making intelligent use of the kn...
ISCA
2008
IEEE
14 years 2 months ago
2008
IEEE
Efficiently utilizing off-chip DRAM bandwidth is a critical issue in designing cost-effective, high-performance chip multiprocessors (CMPs). Conventional memory controllers deli...