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Deep RL

3861 directly classified papers

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Papers

Policy gradients in linearly-solvable MDPs NIPS 2010
A POMDP Extension with Belief-dependent Rewards NIPS 2010
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NIPS 2010
LSTD with Random Projections NIPS 2010
Online Markov Decision Processes under Bandit Feedback NIPS 2010
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories NIPS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
Learning from Logged Implicit Exploration Data NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
Variational methods for Reinforcement Learning AISTATS 2010
PAC-Bayesian Model Selection for Reinforcement Learning NIPS 2010
Linear Complementarity for Regularized Policy Evaluation and Improvement NIPS 2010
Nonparametric Bayesian Policy Priors for Reinforcement Learning NIPS 2010
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Multi-Step Dyna Planning for Policy Evaluation and Control NIPS 2009
The Infinite Partially Observable Markov Decision Process NIPS 2009
Learning to Explore and Exploit in POMDPs NIPS 2009
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
Bootstrapping from Game Tree Search NIPS 2009
Robust Value Function Approximation Using Bilinear Programming NIPS 2009
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining NIPS 2009
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NIPS 2008
Psychiatry: Insights into depression through normative decision-making models NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008