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Model-based Reinforcement Learning

Papers

Showing 401–450 of 708 papers

TitleStatusHype
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning—0
Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions—0
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles—0
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems—0
Safety Verification of Model Based Reinforcement Learning Controllers—0
Sample-Efficient Model-based Actor-Critic for an Interactive Dialogue Task—0
Sample-efficient reinforcement learning using deep Gaussian processes—0
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering—0
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning—0
Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems—0
Selective Dyna-style Planning Under Limited Model Capacity—0
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks—0
Sense, Imagine, Act: Multimodal Perception Improves Model-Based Reinforcement Learning for Head-to-Head Autonomous Racing—0
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning—0
Should I send this notification? Optimizing push notifications decision making by modeling the future—0
Should Models Be Accurate?—0
Skill-based Model-based Reinforcement Learning—0
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels—0
Solipsistic Reinforcement Learning—0
State and Input Constrained Output-Feedback Adaptive Optimal Control of Affine Nonlinear Systems—0
State and Parameter Estimation for Affine Nonlinear Systems—0
Stealing That Free Lunch: Exposing the Limits of Dyna-Style Reinforcement Learning—0
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning—0
Stock Trading Optimization through Model-based Reinforcement Learning with Resistance Support Relative Strength—0
Model Based Reinforcement Learning with Non-Gaussian Environment Dynamics and its Application to Portfolio Optimization—0
Structure Learning in Motor Control:A Deep Reinforcement Learning Model—0
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning—0
Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning—0
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare—0
Switching Linear Dynamics for Variational Bayes Filtering—0
Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network—0
TD-M(PC)^2: Improving Temporal Difference MPC Through Policy Constraint—0
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning—0
The Alignment Ceiling: Objective Mismatch in Reinforcement Learning from Human Feedback—0
The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach—0
The detour problem in a stochastic environment: Tolman revisited—0
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces—0
The growth and form of knowledge networks by kinesthetic curiosity—0
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited—0
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning—0
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL—0
Reward Maximisation through Discrete Active Inference—0
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning—0
The Value Equivalence Principle for Model-Based Reinforcement Learning—0
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching—0
Towards a Simple Approach to Multi-step Model-based Reinforcement Learning—0
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach—0
Towards Causal Model-Based Policy Optimization—0
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL—0
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption—0
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