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Planning

3112 directly classified papers

Papers per year

Papers

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NIPS 2021

TAAC: Temporally Abstract Actor-Critic for Continuous Control NIPS 2021

Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up IJCAI 2021

A Simple Framework for Cognitive Planning AAAI 2021

Auto-Navigator: Decoupled Neural Architecture Search for Visual Navigation WACV 2021

Learning by Planning: Language-Guided Global Image Editing CVPR 2021

Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021

Hierarchical Motion Understanding via Motion Programs CVPR 2021

Goal-Driven Long-Term Trajectory Prediction WACV 2021

Bounded-cost Search Using Estimates of Uncertainty IJCAI 2021

Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021

Scalable Online Planning via Reinforcement Learning Fine-Tuning NIPS 2021

CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum NIPS 2021

ProTo: Program-Guided Transformer for Program-Guided Tasks NIPS 2021

Plan-then-Generate: Controlled Data-to-Text Generation via Planning EMNLP 2021

Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models AISTATS 2021

Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021

Abstract Value Iteration for Hierarchical Reinforcement Learning AISTATS 2021

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning NIPS 2021

Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System NIPS 2021

Top-m identification for linear bandits AISTATS 2021

Unifying Clustered and Non-stationary Bandits AISTATS 2021

Compositional Reinforcement Learning from Logical Specifications NIPS 2021

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction IJCNLP 2021

TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems IJCNLP 2021