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← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
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34
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Papers (including subtopics)

Regret Bounds for Learning State Representations in Reinforcement Learning NIPS 2019
Policy Learning for Fairness in Ranking 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
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function 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
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model 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
Constrained Reinforcement Learning Has Zero Duality Gap NIPS 2019
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning NIPS 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NIPS 2019
Planning with Goal-Conditioned Policies NIPS 2019
Goal-conditioned Imitation Learning NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019