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Showing 326–350 of 677 papers

TitleStatusHype
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
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