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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

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
Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control NIPS 2019
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction 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
Regularizing Trajectory Optimization with Denoising Autoencoders NIPS 2019
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NIPS 2019
The Option Keyboard: Combining Skills in Reinforcement Learning NIPS 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies NIPS 2019
Neural Lyapunov Control 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
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Policy Continuation with Hindsight Inverse Dynamics NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning NIPS 2019
A Geometric Perspective on Optimal Representations for Reinforcement Learning NIPS 2019
Provably Efficient Q-learning with Function Approximation via Distribution Shift Error Checking Oracle NIPS 2019
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints NIPS 2019