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Model-based Reinforcement Learning

Papers

Showing 401–450 of 708 papers

TitleStatusHype
Control-Oriented Model-Based Reinforcement Learning with Implicit DifferentiationCode1
Detecting and Adapting to Novelty in Games—0
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement LearningCode1
Learning Neuro-Symbolic Relational Transition Models for Bilevel PlanningCode1
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles—0
Revisiting Design Choices in Offline Model Based Reinforcement Learning—0
Learning Modular Robot Control PoliciesCode0
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing ProcessesCode0
Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning—0
Data-Efficient Reinforcement Learning for Malaria Control—0
Learning to drive from a world on railsCode1
MBRL-Lib: A Modular Library for Model-based Reinforcement LearningCode2
Planning with Expectation Models for Control—0
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions—0
Online and Offline Reinforcement Learning by Planning with a Learned ModelCode1
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning—0
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation—0
GEM: Group Enhanced Model for Learning Dynamical Control Systems—0
Particle MPC for Uncertain and Learning-Based Control—0
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation—0
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlowCode1
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement LearningCode1
Discriminator Augmented Model-Based Reinforcement Learning—0
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning—0
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving IntelligenceCode1
Adapting User Interfaces with Model-based Reinforcement Learning—0
Less Suboptimal Learning and Control in Variational POMDPs—0
Solipsistic Reinforcement Learning—0
Learning Task Informed Abstractions—0
Learning State Representations via Temporal Cycle-Consistency Constraint in Model-Based Reinforcement Learning—0
Minimax Model Learning—0
On the Importance of Hyperparameter Optimization for Model-based Reinforcement LearningCode1
Visualizing MuZero ModelsCode1
Combining Off and On-Policy Training in Model-Based Reinforcement Learning—0
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning—0
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach—0
Model-Invariant State Abstractions for Model-Based Reinforcement Learning—0
Improving Model-Based Reinforcement Learning with Internal State Representations through Self-SupervisionCode1
Continuous-Time Model-Based Reinforcement LearningCode1
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application—0
Model-based Policy Search for Partially Measurable Systems—0
Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications—0
Biomanufacturing Harvest Optimization with Small Data—0
Representation Balancing Offline Model-based Reinforcement Learning—0
On Trade-offs of Image Prediction in Visual Model-Based Reinforcement Learning—0
Extracting Strong Policies for Robotics Tasks from zero-order trajectory optimizers—0
Non-Markovian Predictive Coding For Planning In Latent Space—0
Trust, but verify: model-based exploration in sparse reward environmentsCode0
Learning Accurate Long-term Dynamics for Model-based Reinforcement LearningCode2
Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement LearningCode1
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