Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Control independence has been put forward as a significant new source of instruction-level parallelism for future generation processors. However, its performance potential under p...
Software streaming allows the execution of streamenabled software on a device even while the transmission/streaming may still be in progress. Thus, the software can be executed wh...
Pramote Kuacharoen, Vincent John Mooney, Vijay K. ...
The inductance effects become significant for sub-100nm process designs due to increasing interconnect lengths, lower interconnect resistance values and fast signal transition tim...
Santosh Shah, Arani Sinha, Li Song, Narain D. Aror...
— This paper presents a decentralized planning method for generating dynamic whole body motions of multilink robots including humanoids. First, a robotic system will be modeled a...
Yuichi Tazaki, Hisashi Sugiura, Herbert Janssen, C...