conftrace_
← Methods
Reinforcement Learning › Methods ›

Deep RL

3,886 papers

Papers per year

1
21
10
450
326
'05
'10
'15
'20
'25

Papers

Learning Belief Representations for Imitation Learning in POMDPs UAI 2019
Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019
Co-training for Policy Learning UAI 2019
Dual Policy Iteration NIPS 2018
Scalable Coordinated Exploration in Concurrent Reinforcement Learning NIPS 2018
Meta-Gradient Reinforcement Learning NIPS 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NIPS 2018
Recurrent World Models Facilitate Policy Evolution NIPS 2018
Q-learning with Nearest Neighbors NIPS 2018
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NIPS 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models NIPS 2018
An Off-policy Policy Gradient Theorem Using Emphatic Weightings NIPS 2018
Temporal Regularization for Markov Decision Process NIPS 2018
Randomized Prior Functions for Deep Reinforcement Learning NIPS 2018
Learning Temporal Point Processes via Reinforcement Learning NIPS 2018
On Oracle-Efficient PAC RL with Rich Observations NIPS 2018
Non-delusional Q-learning and value-iteration NIPS 2018
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning NIPS 2018
Policy Optimization via Importance Sampling NIPS 2018
Transfer of Deep Reactive Policies for MDP Planning NIPS 2018
Simple random search of static linear policies is competitive for reinforcement learning NIPS 2018
Evolved Policy Gradients NIPS 2018
Iterative Value-Aware Model Learning NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes NIPS 2018
Visual Reinforcement Learning with Imagined Goals NIPS 2018