conftrace_

model-based reinforcement learning

415 papers

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Also known as

MBRL MODEL-BASED RL

Co-occurring keywords

sample efficiency (472) world model (189) offline reinforcement learning (492) policy optimization (657) reinforcement learning (4352) dynamics model (67) markov decision process (790) continuous control (246) sample complexity (1169) deep reinforcement learning (903)

Papers

Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles AISTATS 2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization NIPS 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NIPS 2020
A Unifying View of Optimism in Episodic Reinforcement Learning NIPS 2020
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NIPS 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous CORL 2020
Structured Policy Iteration for Linear Quadratic Regulator ICML 2020
Adaptive Discretization for Model-Based Reinforcement Learning NIPS 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization L4DC 2020
Optimistic Policy Optimization with Bandit Feedback ICML 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020
Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models CORL 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning CORL 2019
Curious iLQR: Resolving Uncertainty in Model-based RL CORL 2019
Regularizing Model-Based Planning with Energy-Based Models CORL 2019
Model Learning for Look-Ahead Exploration in Continuous Control AAAI 2019
Combined Reinforcement Learning via Abstract Representations AAAI 2019
Data Efficient Reinforcement Learning for Legged Robots CORL 2019
Improvisation through Physical Understanding: Using Novel Objects As Tools with Visual Foresight RSS 2019
Building Personalized Simulator for Interactive Search IJCAI 2019
Accelerating Imitation Learning with Predictive Models AISTATS 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces NIPS 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NIPS 2019
When to use parametric models in reinforcement learning? NIPS 2019
Regularizing Trajectory Optimization with Denoising Autoencoders NIPS 2019