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Planning

3,142 papers

Papers per year

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Papers

Multitask Soft Option Learning UAI 2020
Efficient Object Detection in Large Images Using Deep Reinforcement Learning WACV 2020
Compositional Plan Vectors NIPS 2019
Learning Stable Deep Dynamics Models NIPS 2019
Neural Lyapunov Control NIPS 2019
Differentiable Cloth Simulation for Inverse Problems NIPS 2019
Regression Planning Networks NIPS 2019
PHYRE: A New Benchmark for Physical Reasoning NIPS 2019
A Model to Search for Synthesizable Molecules NIPS 2019
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning NIPS 2019
Write, Execute, Assess: Program Synthesis with a REPL NIPS 2019
When to Trust Your Model: Model-Based Policy Optimization NIPS 2019
Hierarchical Decision Making by Generating and Following Natural Language Instructions NIPS 2019
Maximum Entropy Monte-Carlo Planning NIPS 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking NIPS 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning NIPS 2019
Incremental Scene Synthesis NIPS 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NIPS 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning NIPS 2019
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling NIPS 2019
Control What You Can: Intrinsically Motivated Task-Planning Agent NIPS 2019
Planning with Goal-Conditioned Policies NIPS 2019
A Composable Specification Language for Reinforcement Learning Tasks NIPS 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation CORL 2019
Object-centric Forward Modeling for Model Predictive Control CORL 2019