SOTAVerified

Sokoban

Papers

Showing 1–50 of 61 papers

TitleStatusHype
Beyond A*: Better Planning with Transformers via Search Dynamics BootstrappingCode3
Illuminating Diverse Neural Cellular Automata for Level GenerationCode1
Tree Search vs Optimization Approaches for Map GenerationCode1
Learning Discrete World Models for Heuristic SearchCode1
Interpreting learned search: finding a transition model and value function in an RNN that plays SokobanCode1
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement LearningCode1
Thinker: Learning to Plan and ActCode1
Policy-Guided Heuristic Search with GuaranteesCode1
Planning in a recurrent neural network that plays SokobanCode1
Multi-Objective level generator generation with MarahelCode1
Classical Planning in Deep Latent SpaceCode1
MageBench: Bridging Large Multimodal Models to AgentsCode1
Subgoal Search For Complex Reasoning TasksCode1
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal SearchCode1
Learning to Search with MCTSnetsCode1
Levin Tree Search with Context ModelsCode1
3D Building Generation in Minecraft via Large Language ModelsCode0
An investigation of model-free planningCode0
A Training Data Recipe to Accelerate A* Search with Language ModelsCode0
ExPoSe: Combining State-Based Exploration with Gradient-Based Online SearchCode0
Inductive general game playingCode0
Learning Local Forward Models on Unforgiving GamesCode0
Mixed-Initiative Level Design with RL BrushCode0
On Grid Graph Reachability and Puzzle GamesCode0
Physically Embedded Planning Problems: New Challenges for Reinforcement LearningCode0
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
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.