Co-occurring keywords · papers mentioning both
Papers
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
IJCAI 2022
Search-based Reinforcement Learning through Bandit Linear Optimization
IJCAI 2022
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions
NeurIPS 2022
Split Moves for Monte-Carlo Tree Search
AAAI 2022
What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies
AAAI 2022
Bayesian Optimized Monte Carlo Planning
AAAI 2021
Combining Tree Search and Action Prediction for State-of-the-Art Performance in DouDiZhu
IJCAI 2021
Convex Regularization in Monte-Carlo Tree Search
ICML 2021
Data-Efficient Reinforcement Learning for Malaria Control
IJCAI 2021
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
AAAI 2021
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search
AAAI 2021
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
AAAI 2021
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism
IJCAI 2021
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
ICLR 2021
Learning and Planning in Complex Action Spaces
ICML 2021
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
AAAI 2021
Machine Translation Decoding beyond Beam Search
EMNLP 2021
Mastering Atari Games with Limited Data
NeurIPS 2021
ME-MCTS: Online Generalization by Combining Multiple Value Estimators
IJCAI 2021
Monte-Carlo Planning and Learning with Language Action Value Estimates
ICLR 2021
Monte Carlo Scene Search for 3D Scene Understanding
CVPR 2021
Monte Carlo Tree Search With Iteratively Refining State Abstractions
NeurIPS 2021
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans
ICCV 2021
Multi-Agent Intention Progression with Black-Box Agents
IJCAI 2021
Neural-Driven Search-Based Paraphrase Generation
EACL 2021