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

An Inference-Based Policy Gradient Method for Learning Options ICML 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor ICML 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search NIPS 2018
Data-Efficient Hierarchical Reinforcement Learning NIPS 2018
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017
DART: Noise Injection for Robust Imitation Learning CORL 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Hindsight Experience Replay NIPS 2017
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016
Safe and Efficient Off-Policy Reinforcement Learning NIPS 2016
Weak Convergence Properties of Constrained Emphatic Temporal-difference Learning with Constant and Slowly Diminishing Stepsize JMLR 2016
Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015
On Convergence of Emphatic Temporal-Difference Learning COLT 2015
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014
Off-policy Learning With Eligibility Traces: A Survey JMLR 2014
Weighted importance sampling for off-policy learning with linear function approximation NIPS 2014
Policy Evaluation with Temporal Differences: A Survey and Comparison JMLR 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
Deterministic Policy Gradient Algorithms ICML 2014
Regularized Off-Policy TD-Learning NIPS 2012
The Fixed Points of Off-Policy TD NIPS 2011
Learning from Logged Implicit Exploration Data NIPS 2010
Model-Free Monte Carlo-like Policy Evaluation AISTATS 2010