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Model-based Reinforcement Learning

Papers

Showing 551600 of 708 papers

TitleStatusHype
Local Policy Optimization for Trajectory-Centric Reinforcement Learning0
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping0
A Game Theoretic Perspective on Model-Based Reinforcement Learning0
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning0
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement LearningCode0
Bayesian Linear Regression on Deep Representations0
Learning Latent State Spaces for Planning through Reward Prediction0
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement LearningCode0
A Model-Based Reinforcement Learning with Adversarial Training for Online RecommendationCode0
Transferable Force-Torque Dynamics Model for Peg-in-hole Task0
Augmented Random Search for Quadcopter Control: An alternative to Reinforcement Learning0
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy OptimizationCode0
Model-Based Reinforcement Learning with Adversarial Training for Online RecommendationCode0
Robo-PlaNet: Learning to Poke in a Day0
MBCAL: Sample Efficient and Variance Reduced Reinforcement Learning for Recommender Systems0
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems0
Learning to Predict Without Looking Ahead: World Models Without Forward PredictionCode2
Asynchronous Methods for Model-Based Reinforcement LearningCode0
Entity Abstraction in Visual Model-Based Reinforcement LearningCode0
Regularizing Model-Based Planning with Energy-Based Models0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation0
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models0
Model-Based Reinforcement Learning Exploiting State-Action Equivalence0
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books0
Multi-step Greedy Reinforcement Learning Algorithms0
Learning by shaking: Computing policy gradients by physical forward-propagation0
Risk Averse Value Expansion for Sample Efficient and Robust Policy Learning0
Policy Optimization In the Face of Uncertainty0
Counterfactual Regularization for Model-Based Reinforcement Learning0
Improving Exploration of Deep Reinforcement Learning using Planning for Policy Search0
S2VG: Soft Stochastic Value Gradient method0
Multi-step Greedy Policies in Model-Free Deep Reinforcement Learning0
Policy Tree Network0
Model Imitation for Model-Based Reinforcement Learning0
Revisit Policy Optimization in Matrix Form0
Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space0
Gradient-Aware Model-based Policy Search0
Model-based Lookahead Reinforcement Learning0
Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics0
Towards Model-based Reinforcement Learning for Industry-near EnvironmentsCode0
Delegative Reinforcement Learning: learning to avoid traps with a little help0
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning0
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning0
Benchmarking Model-Based Reinforcement LearningCode0
Dynamics-Aware Unsupervised Discovery of SkillsCode1
Uncertainty-aware Model-based Policy Optimization0
Exploring Model-based Planning with Policy NetworksCode0
Calibrated Model-Based Deep Reinforcement LearningCode0
When to Trust Your Model: Model-Based Policy OptimizationCode1
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