most citedReinforcement Learning in Partially Observable Markov Decision Processes using Hybrid Probabilistic Logic Programs

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2010

Bridging the Gap between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework

Emad Saad

Knowledge Representation is important issue in reinforcement learning. In this paper, we bridge the gap between reinforcement learning and knowledge representation, by providing a…

cs.AI2010★ 5 cited

Reinforcement Learning in Partially Observable Markov Decision Processes using Hybrid Probabilistic Logic Programs

Emad Saad

We present a probabilistic logic programming framework to reinforcement learning, by integrating reinforce-ment learning, in POMDP environments, with normal hybrid probabilistic lo…