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Deep RL

3,886 papers

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Papers

Bayes-Adaptive Simulation-based Search with Value Function Approximation NIPS 2014
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning NIPS 2014
Optimistic Planning in Markov Decision Processes Using a Generative Model NIPS 2014
Quasi Newton Temporal Difference Learning ACML 2014
Reinforcement learning with value advice ACML 2014
Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014
True Online TD(lambda) ICML 2014
A new Q(lambda) with interim forward view and Monte Carlo equivalence ICML 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014
Online Multi-Task Learning for Policy Gradient Methods ICML 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
Convergence of Monte Carlo Tree Search in Simultaneous Move Games NIPS 2013
Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result NIPS 2013
Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NIPS 2013
Reward Mapping for Transfer in Long-Lived Agents NIPS 2013
(More) Efficient Reinforcement Learning via Posterior Sampling NIPS 2013
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris NIPS 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Efficient Exploration and Value Function Generalization in Deterministic Systems NIPS 2013
DESPOT: Online POMDP Planning with Regularization NIPS 2013
Projected Natural Actor-Critic NIPS 2013
Policy Shaping: Integrating Human Feedback with Reinforcement Learning NIPS 2013