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Showing 301–350 of 677 papers

TitleStatusHype
Reward Shaping Using Convolutional Neural Network—0
Risk Averse Value Expansion for Sample Efficient and Robust Policy Learning—0
Risk-Sensitive Generative Adversarial Imitation Learning—0
Surfer: Progressive Reasoning with World Models for Robotic Manipulation—0
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula—0
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification—0
On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning—0
Robust Imitation of Diverse Behaviors—0
Robust Model Based Reinforcement Learning Using L_1 Adaptive Control—0
Robust Reinforcement Learning for Continuous Control with Model Misspecification—0
Robust Reinforcement Learning through Efficient Adversarial Herding—0
rQdia: Regularizing Q-Value Distributions With Image Augmentation—0
Safe adaptation in multiagent competition—0
Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation—0
Safe Policy Learning for Continuous Control—0
SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks—0
Sample-efficient Adversarial Imitation Learning—0
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs—0
SEERL: Sample Efficient Ensemble Reinforcement Learning—0
Self-Supervised Continuous Control without Policy Gradient—0
Relevance-Guided Modeling of Object Dynamics for Reinforcement Learning—0
Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction—0
SEREN: Knowing When to Explore and When to Exploit—0
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning—0
Simple Emergent Action Representations from Multi-Task Policy Training—0
Simultaneous Training of First- and Second-Order Optimizers in Population-Based Reinforcement Learning—0
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity—0
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation—0
Smooth Imitation Learning via Smooth Costs and Smooth Policies—0
SOAC: The Soft Option Actor-Critic Architecture—0
Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint—0
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching—0
Soft policy optimization using dual-track advantage estimator—0
Solving Minimum-Cost Reach Avoid using Reinforcement Learning—0
SparseDice: Imitation Learning for Temporally Sparse Data via Regularization—0
SPP-RL: State Planning Policy Reinforcement Learning—0
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients—0
Multiagent Model-based Credit Assignment for Continuous Control—0
Stochastic Variance Reduction for Policy Gradient Estimation—0
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees—0
Supported Trust Region Optimization for Offline Reinforcement Learning—0
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network—0
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning—0
Temporal Abstraction in Reinforcement Learning with Offline Data—0
Temporal-adaptive Hierarchical Reinforcement Learning—0
MinMaxMin Q-learning—0
SQT -- std Q-target—0
Text-to-Decision Agent: Learning Generalist Policies from Natural Language Supervision—0
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning—0
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective—0
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