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sample efficiency

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Co-occurring keywords · papers mentioning both

reinforcement learning (179) deep reinforcement learning (86) model-based reinforcement learning (79) continuous control (47) policy optimization (44) representation learning (43) policy gradient (37) imitation learning (29) value function (29) off-policy learning (29)

Papers

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024 Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NeurIPS 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024 CapsFusion: Rethinking Image-Text Data at Scale CVPR 2024 Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024 Contrastive Difference Predictive Coding ICLR 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation ICML 2024 CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024 Data Distribution Valuation NeurIPS 2024 Diffusion for World Modeling: Visual Details Matter in Atari NeurIPS 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks ICLR 2024 Dual Critic Reinforcement Learning under Partial Observability NeurIPS 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 Effective Exploration Based on the Structural Information Principles NeurIPS 2024 Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction UAI 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Environment Design for Inverse Reinforcement Learning ICML 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024