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Deep RL

3861 directly classified papers

Papers per year

Papers

Maximum Entropy Monte-Carlo Planning NIPS 2019
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates NIPS 2019
Better Exploration with Optimistic Actor Critic NIPS 2019
Finding Friend and Foe in Multi-Agent Games NIPS 2019
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
A Family of Robust Stochastic Operators for Reinforcement Learning NIPS 2019
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NIPS 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Convergent Policy Optimization for Safe Reinforcement Learning NIPS 2019
Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NIPS 2019
Goal-Driven Sequential Data Abstraction ICCV 2019
Geometric Multi-Model Fitting by Deep Reinforcement Learning AAAI 2019
Expressive Real-Time Intersection Scheduling AAAI 2019
Policy Optimization with Model-Based Explorations AAAI 2019
Towards Better Interpretability in Deep Q-Networks AAAI 2019
A Comparative Analysis of Expected and Distributional Reinforcement Learning AAAI 2019
The Utility of Sparse Representations for Control in Reinforcement Learning AAAI 2019
Trust Region Evolution Strategies AAAI 2019
Combined Reinforcement Learning via Abstract Representations AAAI 2019
Human-Like Delicate Region Erasing Strategy for Weakly Supervised Detection AAAI 2019
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning INTERSPEECH 2019
Truly Batch Apprenticeship Learning with Deep Successor Features IJCAI 2019