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Deep RL

3,886 papers

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Papers

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NIPS 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning NIPS 2019
Distributional Reward Decomposition for Reinforcement Learning NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
Regret Bounds for Learning State Representations in Reinforcement Learning NIPS 2019
Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function NIPS 2019
Reconciling λ-Returns with Experience Replay NIPS 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation NIPS 2019
Regret Minimization for Reinforcement Learning with Vectorial Feedback and Complex Objectives NIPS 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019
A Family of Robust Stochastic Operators for Reinforcement Learning NIPS 2019
Trust Region-Guided Proximal Policy Optimization NIPS 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NIPS 2019
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling NIPS 2019
Learning Transferable Graph Exploration NIPS 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs NIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NIPS 2019
Planning with Goal-Conditioned Policies NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
Convergent Policy Optimization for Safe Reinforcement Learning NIPS 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NIPS 2019
A neurally plausible model learns successor representations in partially observable environments NIPS 2019