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Sokoban

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Showing 1–50 of 61 papers

TitleStatusHype
Beyond A*: Better Planning with Transformers via Search Dynamics BootstrappingCode3
Interpreting learned search: finding a transition model and value function in an RNN that plays SokobanCode1
MageBench: Bridging Large Multimodal Models to AgentsCode1
Learning Discrete World Models for Heuristic SearchCode1
Planning in a recurrent neural network that plays SokobanCode1
Thinker: Learning to Plan and ActCode1
Levin Tree Search with Context ModelsCode1
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal SearchCode1
Illuminating Diverse Neural Cellular Automata for Level GenerationCode1
Subgoal Search For Complex Reasoning TasksCode1
Classical Planning in Deep Latent SpaceCode1
Policy-Guided Heuristic Search with GuaranteesCode1
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningCode1
Multi-Objective level generator generation with MarahelCode1
Tree Search vs Optimization Approaches for Map GenerationCode1
Learning to Search with MCTSnetsCode1
Solving Sokoban using Hierarchical Reinforcement Learning with LandmarksCode0
Interpreting Emergent Planning in Model-Free Reinforcement Learning—0
Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach—0
A Training Data Recipe to Accelerate A* Search with Language ModelsCode0
Autoverse: An Evolvable Game Language for Learning Robust Embodied Agents—0
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation—0
3D Building Generation in Minecraft via Large Language ModelsCode0
AlphaZeroES: Direct score maximization outperforms planning loss minimization—0
Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability—0
PCGPT: Procedural Content Generation via Transformers—0
On Grid Graph Reachability and Puzzle GamesCode0
AI planning in the imagination: High-level planning on learned abstract search spaces—0
Explainable Goal Recognition: A Framework Based on Weight of Evidence—0
Level Generation Through Large Language Models—0
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple SizesCode0
A Differentiable Loss Function for Learning Heuristics in A*—0
Keke AI Competition: Solving puzzle levels in a dynamically changing mechanic space—0
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning—0
Learning First-Order Symbolic Planning Representations That Are Grounded—0
Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset—0
ExPoSe: Combining State-Based Exploration with Gradient-Based Online SearchCode0
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances—0
Potential-based Reward Shaping in Sokoban—0
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning—0
Transfer Learning and Curriculum Learning in Sokoban—0
Solving Sokoban with forward-backward reinforcement learning—0
Towards Action Model Learning for Player ModelingCode0
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban—0
Physically Embedded Planning Problems: New Challenges for Reinforcement LearningCode0
Mixed-Initiative Level Design with RL BrushCode0
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations—0
Uncertainty-sensitive Learning and Planning with EnsemblesCode0
Working Memory Graphs—0
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture—0
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