Co-occurring keywords · papers mentioning both
Papers
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
ACL 2024
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent
NeurIPS 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning
UAI 2023
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function
ACL 2023
Game Solving with Online Fine-Tuning
NeurIPS 2023
Learning Program Synthesis for Integer Sequences from Scratch
AAAI 2023
Online POMDP Planning with Anytime Deterministic Guarantees
NeurIPS 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Policy-Based Self-Competition for Planning Problems
ICLR 2023
Preference learning for guiding the tree search in continuous POMDPs
CoRL 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
A Novel Approach to Solving Goal-Achieving Problems for Board Games
AAAI 2022
Efficient Non-Parametric Optimizer Search for Diverse Tasks
NeurIPS 2022
Latent Planning via Expansive Tree Search
NeurIPS 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization
NeurIPS 2022
Policy improvement by planning with Gumbel
ICLR 2022
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
AAAI 2022
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization
ICLR 2022
Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
CoRL 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
NeurIPS 2021
Policy-Guided Heuristic Search with Guarantees
AAAI 2021
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
NeurIPS 2021
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
NeurIPS 2021
Deep Reinforcement Learning for General Game Playing
AAAI 2020