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Deep RL

3,886 papers

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Papers

Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions RSS 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
Active Model Estimation in Markov Decision Processes UAI 2020
Stable Policy Optimization via Off-Policy Divergence Regularization UAI 2020
Generalization of Reinforcement Learners with Working and Episodic Memory NIPS 2019
Explicit Explore-Exploit Algorithms in Continuous State Spaces NIPS 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NIPS 2019
Discovery of Useful Questions as Auxiliary Tasks NIPS 2019
Learning Local Search Heuristics for Boolean Satisfiability NIPS 2019
Learning to Perform Local Rewriting for Combinatorial Optimization NIPS 2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment NIPS 2019
Learning dynamic polynomial proofs NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Hindsight Credit Assignment NIPS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning NIPS 2019
When to use parametric models in reinforcement learning? NIPS 2019
Correlation Priors for Reinforcement Learning NIPS 2019
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NIPS 2019
Interval timing in deep reinforcement learning agents NIPS 2019
Shaping Belief States with Generative Environment Models for RL NIPS 2019
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019