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Sokoban

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Showing 26–50 of 61 papers

TitleStatusHype
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural NetworksCode0
Single-Agent Policy Tree Search With GuaranteesCode0
Solving Sokoban using Hierarchical Reinforcement Learning with LandmarksCode0
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple SizesCode0
Towards Action Model Learning for Player ModelingCode0
Uncertainty - sensitive learning and planning with ensemblesCode0
Uncertainty-sensitive Learning and Planning with EnsemblesCode0
Explainable Goal Recognition: A Framework Based on Weight of Evidence—0
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning—0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
AI in Game Playing: Sokoban Solver—0
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset—0
PCGPT: Procedural Content Generation via Transformers—0
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning—0
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban—0
AI planning in the imagination: High-level planning on learned abstract search spaces—0
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents—0
Potential-based Reward Shaping in Sokoban—0
Procedural Generation of Initial States of Sokoban—0
Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach—0
Transfer Learning and Curriculum Learning in Sokoban—0
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances—0
A Differentiable Loss Function for Learning Heuristics in A*—0
Solving Sokoban with forward-backward reinforcement learning—0
Working Memory Graphs—0
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