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Showing 301–350 of 677 papers

TitleStatusHype
Contextual Transformer for Offline Meta Reinforcement Learning—0
Continuous Control for Searching and Planning with a Learned Model—0
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization—0
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)—0
Continuous Neural Algorithmic Planners—0
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling—0
Cooperative Heterogeneous Deep Reinforcement Learning—0
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization—0
Cross-Domain Imitation Learning with a Dual Structure—0
CrossNorm: On Normalization for Off-Policy Reinforcement Learning—0
Data Valuation for Offline Reinforcement Learning—0
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning—0
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies—0
Decorrelated Double Q-learning—0
Deep exploration by novelty-pursuit with maximum state entropy—0
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks—0
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning—0
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays—0
DEFENDER: DTW-Based Episode Filtering Using Demonstrations for Enhancing RL Safety—0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback—0
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study—0
DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects—0
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction—0
DisTop: Discovering a Topological representation to learn diverse and rewarding skills—0
Distributional Decision Transformer for Hindsight Information Matching—0
Distributionally Robust Statistical Verification with Imprecise Neural Networks—0
Diverse Imitation Learning via Self-OrganizingGenerative Models—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation—0
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning—0
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization—0
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods—0
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning—0
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration—0
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling—0
ELSIM: End-to-end learning of reusable skills through intrinsic motivation—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning—0
Entropy Augmented Reinforcement Learning—0
Episodic Reinforcement Learning with Expanded State-reward Space—0
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning—0
Markov flow policy -- deep MC—0
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations—0
Maximizing Ensemble Diversity in Deep Reinforcement Learning—0
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation—0
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees—0
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning—0
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning—0
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents—0
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