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Showing 426–450 of 677 papers

TitleStatusHype
User-Oriented Robust Reinforcement Learning—0
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement LearningCode0
STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence—0
Recursive Least Squares Advantage Actor-Critic Algorithms—0
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning—0
Self Reward Design with Fine-grained InterpretabilityCode0
Multiagent Model-based Credit Assignment for Continuous Control—0
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement LearningCode0
Continuous Control With Ensemble Deep Deterministic Policy GradientsCode0
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning—0
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance—0
Improving Learning from Demonstrations by Learning from Experience—0
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving—0
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects—0
Time Discretization-Invariant Safe Action Repetition for Policy Gradient MethodsCode0
Smooth Imitation Learning via Smooth Costs and Smooth Policies—0
Policy Search using Dynamic Mirror Descent MPC for Model Free Off Policy RL—0
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric—0
Balancing Value Underestimation and Overestimation with Realistic Actor-CriticCode0
On-Policy Model Errors in Reinforcement Learning—0
Wasserstein Unsupervised Reinforcement Learning—0
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation—0
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping—0
Auto-Encoding Inverse Reinforcement Learning—0
Distributional Decision Transformer for Hindsight Information Matching—0
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