conftrace_

off-policy learning

228 papers

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Also known as

OPL

Co-occurring keywords

reinforcement learning (4352) deep reinforcement learning (903) policy gradient (520) sample efficiency (472) continuous control (246) temporal difference learning (149) policy optimization (657) value function (295) off-policy reinforcement learning (34) importance sampling (318)

Papers

Data-Driven Market-Making via Model-Free Learning IJCAI 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans L4DC 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
An Optimistic Perspective on Offline Reinforcement Learning ICML 2020
Statistically Efficient Off-Policy Policy Gradients ICML 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020
Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML 2020
Off-Policy Actor-Critic with Shared Experience Replay ICML 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
Deep Conservative Policy Iteration AAAI 2020
Counterfactual Off-Policy Training for Neural Dialogue Generation EMNLP 2020
Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020
Conditional Importance Sampling for Off-Policy Learning AISTATS 2020
A Nonparametric Off-Policy Policy Gradient AISTATS 2020
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020
Attentive Experience Replay AAAI 2020
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning RSS 2020
Importance Sampling Techniques for Policy Optimization JMLR 2020
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020
Constrained Policy Improvement for Efficient Reinforcement Learning IJCAI 2020