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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

Task-agnostic Exploration in Reinforcement Learning NIPS 2020
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits NIPS 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CORL 2020
Predictive Information Accelerates Learning in RL NIPS 2020
Time-Reversal Symmetric ODE Network NIPS 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NIPS 2020
f-IRL: Inverse Reinforcement Learning via State Marginal Matching CORL 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Do We Need to Create Big Datasets to Learn a Task? EMNLP 2020
Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization AAAI 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020
Count-Based Exploration with the Successor Representation AAAI 2020
Sequential Cooperative Bayesian Inference ICML 2020
Implicit Distributional Reinforcement Learning NIPS 2020
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
A Nonparametric Off-Policy Policy Gradient AISTATS 2020
Auxiliary Tasks Speed Up Learning Point Goal Navigation CORL 2020
Attention-Privileged Reinforcement Learning CORL 2020
Data Efficient Reinforcement Learning for Legged Robots CORL 2019
Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Control What You Can: Intrinsically Motivated Task-Planning Agent NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019