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sample efficiency

469 papers

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Co-occurring keywords

reinforcement learning (4122) deep reinforcement learning (903) model-based reinforcement learning (415) representation learning (6174) policy gradient (518) policy optimization (630) continuous control (246) off-policy learning (227) value function (294) imitation learning (741)

Papers

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024
MatrixNet: Learning over symmetry groups using learned group representations NIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions? ICML 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Variance Control for Distributional Reinforcement Learning ICML 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions AAAI 2023
Reinforcement Learning Can Be More Efficient with Multiple Rewards ICML 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023
Efficient Online Reinforcement Learning with Offline Data ICML 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023
Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards CORL 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation ICML 2023
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023
Off-Policy Proximal Policy Optimization AAAI 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023