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Model-based Reinforcement Learning

Papers

Showing 651700 of 708 papers

TitleStatusHype
Improving gearshift controllers for electric vehicles with reinforcement learning0
Improving Hyperparameter Optimization by Planning Ahead0
Improving planning and MBRL with temporally-extended actions0
Improving the Exploration of Deep Reinforcement Learning in Continuous Domains using Planning for Policy Search0
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars0
Incremental learning abstract discrete planning domains and mappings to continuous perceptions0
InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model0
Inferring Transition Dynamics from Value Functions0
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL0
Insulin Regimen ML-based control for T2DM patients0
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning0
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review0
Inverse Transition Learning: Learning Dynamics from Demonstrations0
Investigating Compounding Prediction Errors in Learned Dynamics Models0
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control0
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function0
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer0
Iterative Value-Aware Model Learning0
JEDI: Latent End-to-end Diffusion Mitigates Agent-Human Performance Asymmetry in Model-Based Reinforcement Learning0
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning0
Jointly-Trained State-Action Embedding for Efficient Reinforcement Learning0
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning0
Knowledge Retention for Continual Model-Based Reinforcement Learning0
Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning0
λ-models: Effective Decision-Aware Reinforcement Learning with Latent Models0
LanGWM: Language Grounded World Model0
Latent Variable Representation for Reinforcement Learning0
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer0
Learning and Querying Fast Generative Models for Reinforcement Learning0
Learning by shaking: Computing policy gradients by physical forward-propagation0
Learning Control from Raw Position Measurements0
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future0
Learning Dynamics Models for Model Predictive Agents0
Learning Dynamic State Abstractions for Model-Based Reinforcement Learning0
Learning global control of underactuated systems with Model-Based Reinforcement Learning0
Learning Latent State Spaces for Planning through Reward Prediction0
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning0
Learning powerful policies and better dynamics models by encouraging consistency0
Learning Robust Controllers Via Probabilistic Model-Based Policy Search0
Learning Stabilizable Dynamical Systems via Control Contraction Metrics0
Learning State Representations in Complex Systems with Multimodal Data0
Learning State Representations via Temporal Cycle-Consistency Constraint in Model-Based Reinforcement Learning0
Learning Task Informed Abstractions0
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps0
Learning to Plan via Deep Optimistic Value Exploration0
Learning to Play Atari in a World of Tokens0
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning0
Learning to Selectively Learn for Weakly Supervised Paraphrase Generation with Model-based Reinforcement Learning0
Learning Transformer-based World Models with Contrastive Predictive Coding0
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