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Papers

Showing 126–150 of 677 papers

TitleStatusHype
Simple random search provides a competitive approach to reinforcement learningCode1
DeepMind Control SuiteCode1
Learnings Options End-to-End for Continuous Action TasksCode1
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximationCode1
DART: Noise Injection for Robust Imitation LearningCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback—0
Turning Sand to Gold: Recycling Data to Bridge On-Policy and Off-Policy Learning via Causal Bound—0
Safe Domain Randomization via Uncertainty-Aware Out-of-Distribution Detection and Policy Adaptation—0
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study—0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
rQdia: Regularizing Q-Value Distributions With Image Augmentation—0
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration—0
ADDQ: Adaptive Distributional Double Q-LearningCode0
Learning Task Belief Similarity with Latent Dynamics for Meta-Reinforcement LearningCode0
Hard Contacts with Soft Gradients: Refining Differentiable Simulators for Learning and Control—0
The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning—0
Wasserstein Barycenter Soft Actor-Critic—0
Modular Recurrence in Contextual MDPs for Universal Morphology Control—0
MOBODY: Model Based Off-Dynamics Offline Reinforcement LearningCode0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
LLMs for sensory-motor control: Combining in-context and iterative learningCode0
Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning—0
Enhanced DACER Algorithm with High Diffusion Efficiency—0
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning—0
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