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Showing 101–150 of 677 papers

TitleStatusHype
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement LearningCode1
SQIL: Imitation Learning via Reinforcement Learning with Sparse RewardsCode1
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the PastCode1
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience ReplayCode1
DeepMind Control SuiteCode1
Improving Sample Efficiency in Model-Free Reinforcement Learning from ImagesCode1
Learning Invariant Representations for Reinforcement Learning without ReconstructionCode1
Towards Safe Reinforcement Learning via Constraining Conditional Value at RiskCode1
An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with PybulletCode1
Trust Region Policy Optimisation in Multi-Agent Reinforcement LearningCode1
FM-TS: Flow Matching for Time Series GenerationCode1
Evolution Strategies as a Scalable Alternative to Reinforcement LearningCode1
An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable SimulationCode1
Vision-Language Models are Zero-Shot Reward Models for Reinforcement LearningCode1
FORK: A Forward-Looking Actor For Model-Free Reinforcement LearningCode1
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based EnvironmentsCode1
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement LearningCode1
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation ErrorsCode1
Delay-Aware Model-Based Reinforcement Learning for Continuous ControlCode1
Cross-Modal Domain Adaptation for Reinforcement LearningCode1
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority InfluenceCode1
Learning Successor Features the Simple WayCode1
Generalizable Episodic Memory for Deep Reinforcement LearningCode1
Learnings Options End-to-End for Continuous Action TasksCode1
Imitation Learning with Sinkhorn DistancesCode1
Multi-Modal Mutual Information (MuMMI) Training for Robust Self-Supervised Deep Reinforcement LearningCode1
Sample-Efficient Automated Deep Reinforcement LearningCode1
Converting Biomechanical Models from OpenSim to MuJoCoCode1
Doubly Mild Generalization for Offline Reinforcement LearningCode1
EDGE: Explaining Deep Reinforcement Learning PoliciesCode1
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor RepresentationCode1
Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets—0
Coagent Networks: Generalized and Scaled—0
DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects—0
Closed Loop Interactive Embodied Reasoning for Robot Manipulation—0
A Pragmatic Look at Deep Imitation Learning—0
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study—0
DIDA: Denoised Imitation Learning based on Domain Adaptation—0
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning—0
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels—0
Action Redundancy in Reinforcement Learning—0
CIM-PPO:Proximal Policy Optimization with Liu-Correntropy Induced Metric—0
A Pontryagin Perspective on Reinforcement Learning—0
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback—0
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory—0
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
Modular Recurrence in Contextual MDPs for Universal Morphology Control—0
CEIL: Generalized Contextual Imitation Learning—0
CAT-SAC: Soft Actor-Critic with Curiosity-Aware Entropy Temperature—0
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays—0
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