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Showing 251–300 of 677 papers

TitleStatusHype
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process—0
Robust Model Based Reinforcement Learning Using L_1 Adaptive Control—0
Phasic Diversity Optimization for Population-Based Reinforcement Learning—0
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization—0
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning—0
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning—0
Conservative DDPG -- Pessimistic RL without Ensemble—0
Iterated Q-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning—0
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)—0
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for EfficiencyCode0
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory—0
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated PoliciesCode0
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary DynamicsCode0
Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion over Diverse Terrains—0
ALOHA 2: An Enhanced Low-Cost Hardware for Bimanual Teleoperation—0
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving—0
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping—0
MinMaxMin Q-learning—0
SQT -- std Q-target—0
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation LearningCode0
A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton—0
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator—0
Episodic Reinforcement Learning with Expanded State-reward Space—0
AgentMixer: Multi-Agent Correlated Policy Factorization—0
Neural Population Learning beyond Symmetric Zero-sum Games—0
An Invariant Information Geometric Method for High-Dimensional Online OptimizationCode0
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction—0
Adaptive trajectory-constrained exploration strategy for deep reinforcement learningCode0
DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects—0
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments—0
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction EstimationCode0
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation—0
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
A dynamical clipping approach with task feedback for Proximal Policy OptimizationCode0
Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning—0
Supported Trust Region Optimization for Offline Reinforcement Learning—0
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling—0
An Intelligent Social Learning-based Optimization Strategy for Black-box Robotic Control with Reinforcement Learning—0
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula—0
A Tractable Inference Perspective of Offline RL—0
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations—0
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL—0
Policy Gradient with Kernel Quadrature—0
One is More: Diverse Perspectives within a Single Network for Efficient DRL—0
Benchmarking the Sim-to-Real Gap in Cloth Manipulation—0
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios—0
Imitation Learning from Purified DemonstrationsCode0
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates—0
FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility—0
On Representation Complexity of Model-based and Model-free Reinforcement Learning—0
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