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Showing 451–500 of 677 papers

TitleStatusHype
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models—0
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning—0
Benchmarking the Sim-to-Real Gap in Cloth Manipulation—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration—0
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning—0
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis—0
Biased Estimates of Advantages over Path Ensembles—0
BlockPuzzle - A Challenge in Physical Reasoning and Generalization for Robot Learning—0
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States—0
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)—0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains—0
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning—0
CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning—0
Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?—0
Careful at Estimation and Bold at Exploration—0
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture—0
CAT-SAC: Soft Actor-Critic with Curiosity-Aware Entropy Temperature—0
CEIL: Generalized Contextual Imitation Learning—0
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory—0
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
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