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Showing 251–300 of 677 papers

TitleStatusHype
Coagent Networks: Generalized and Scaled—0
Learning Constraint Network from Demonstrations via Positive-Unlabeled Learning with Memory Replay—0
Learning Loss Landscapes in Preference Optimization—0
Generalized Maximum Entropy Reinforcement Learning via Reward Shaping—0
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks—0
Balancing Constraints and Rewards with Meta-Gradient D4PG—0
Deep exploration by novelty-pursuit with maximum state entropy—0
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance—0
Decorrelated Double Q-learning—0
Adapting Double Q-Learning for Continuous Reinforcement Learning—0
AgentMixer: Multi-Agent Correlated Policy Factorization—0
Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations—0
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy—0
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning—0
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies—0
DDPG++: Striving for Simplicity in Continuous-control Off-Policy Reinforcement Learning—0
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts—0
Data Valuation for Offline Reinforcement Learning—0
A Game-Theoretic Perspective of Generalization in Reinforcement Learning—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
AVG-DICE: Stationary Distribution Correction by Regression—0
CrossNorm: On Normalization for Off-Policy Reinforcement Learning—0
Average-Reward Reinforcement Learning with Trust Region Methods—0
SrSv: Integrating Sequential Rollouts with Sequential Value Estimation for Multi-agent Reinforcement Learning—0
Learning from Observations Using a Single Video Demonstration and Human Feedback—0
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision—0
Cross-Domain Imitation Learning with a Dual Structure—0
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization—0
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization—0
Cooperative Heterogeneous Deep Reinforcement Learning—0
Auto-Encoding Inverse Reinforcement Learning—0
Control Transformer: Robot Navigation in Unknown Environments through PRM-Guided Return-Conditioned Sequence Modeling—0
AutoDIME: Automatic Design of Interesting Multi-Agent Environments—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
A Unifying Framework for Causal Imitation Learning with Hidden Confounders—0
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework—0
Language to Rewards for Robotic Skill Synthesis—0
Continuous Neural Algorithmic Planners—0
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL)—0
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment—0
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method—0
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization—0
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience—0
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates—0
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning—0
Adversarial Imitation Learning via Random Search—0
Imitation Learning from Video by Leveraging Proprioception—0
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning—0
Continuous Control for Searching and Planning with a Learned Model—0
Contextual Transformer for Offline Meta Reinforcement Learning—0
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