Co-occurring keywords · papers mentioning both
Papers
Hill Climbing on Value Estimates for Search-control in Dyna
IJCAI 2019
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models
CoRL 2019
Improvisation through Physical Understanding: Using Novel Objects As Tools with Visual Foresight
RSS 2019
Incremental Learning of Planning Actions in Model-Based Reinforcement Learning
IJCAI 2019
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
AAAI 2019
Learning Latent Dynamics for Planning from Pixels
ICML 2019
Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning
ICLR 2019
Learning to Paint With Model-Based Deep Reinforcement Learning
ICCV 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
NeurIPS 2019
Model-Based Reinforcement Learning Exploiting State-Action Equivalence
ACML 2019
Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches
COLT 2019
Modeling the Long Term Future in Model-Based Reinforcement Learning
ICLR 2019
Model Learning for Look-Ahead Exploration in Continuous Control
AAAI 2019
Multi-Agent Reinforcement Learning with Multi-Step Generative Models
CoRL 2019
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
NeurIPS 2019
Planning with Expectation Models
IJCAI 2019
Policy Optimization with Model-Based Explorations
AAAI 2019
Regularizing Model-Based Planning with Energy-Based Models
CoRL 2019
Regularizing Trajectory Optimization with Denoising Autoencoders
NeurIPS 2019
Robust exploration in linear quadratic reinforcement learning
NeurIPS 2019
Shaping Belief States with Generative Environment Models for RL
NeurIPS 2019
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
ICML 2019
Structured agents for physical construction
ICML 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
NeurIPS 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
CoRL 2019