Blocks World revisited

By John K. Slaney, Sylvie Thiébaux. 2001

282 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

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In Computer Networks and Communications

Citations in the corpus

Fitted Q-Learning for Relational Domains (2020, background): “main (Slaney and Thiébaux 2001) consists of blocks stacked on top of each other to form towers.”
Model Recognition as Planning (2019, background): “For instance, we claim that the six action schemata of Figure 1 are comparable while, for example, the stack(?v1,?v2) and pickup(?v1) schemata from a four operator blocksworld (Slaney and Thi ´ ebaux 2001) are not.”
A review of generalized planning (2019, background): “An illustrative example is the following generalized plan for the well-known blocksworld domain [88], where the goal is to stack the blocks on each other in a given pattern.”
Action Schema Networks: Generalised Policies with Deep Learning (2017, background): “Furthermore, even for the deterministic version of Blocks World, a generalised policy requires the planner to learn a recursive property for whether each block is in a goal position (Slaney and Thiébaux 2001).”
SHOP2: An HTN Planning System (2003, background): “The ability to use domain-speciﬁc problem-solving knowledge can dramatically improve a planner’s performance, and sometimes make the diﬀerence between solving a problem in exponential time and solving it in polynomial time (e.g., Gupta & Nau, 1992; Slaney & Thi´ebaux, 2001).”
Solving Relational and First-Order Logical Markov Decision Processes: A Survey (2012, background): “It is a straightforward combination of Q-learning and ILP for generalization of Q-functions, and was tested on small deterministic Blocks Worlds.”
A Survey on Multimodal Large Language Models for Autonomous Driving (2023, background): “Some well-known examples of LLMs include GPT-3 [14], PaLM [25], LLaMA [169], and GPT-4 [ There is a growing area of research that utilizes LLMs to develop autonomous agents with human-like capabilities.”