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Showing 301–350 of 677 papers

TitleStatusHype
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric—0
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels—0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
Closed Loop Interactive Embodied Reasoning for Robot Manipulation—0
Coagent Networks: Generalized and Scaled—0
Collaborative Inter-agent Knowledge Distillation for Reinforcement Learning—0
Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
Combination of Supervised and Reinforcement Learning For Vision-Based Autonomous Control—0
Combining Model-based and Model-free RL via Multi-step Control Variates—0
Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning—0
Composing Complex Skills by Learning Transition Policies with Proximity Reward Induction—0
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving—0
CoNES: Convex Natural Evolutionary Strategies—0
Conservative DDPG -- Pessimistic RL without Ensemble—0
Constrained Markov Decision Processes via Backward Value Functions—0
Context is Everything: Implicit Identification for Dynamics Adaptation—0
Contextual Conservative Q-Learning for Offline Reinforcement Learning—0
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
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online—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
dm_control: Software and Tasks for Continuous Control—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation—0
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