We are concerned with temporalreasoning problems where there is uncertainty about the order in which events occur. The task of temporal reasoning is to derive an event sequence co...
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Optimizations aimed at reducing the impact of memory operations on execution speed have long concentrated on improving cache performance. These efforts achieve a reasonable level...