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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
31
34
727
530
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Papers (including subtopics)

Decoupling Representation Learning from Reinforcement Learning ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021
Taylor Expansion of Discount Factors ICML 2021
REPAINT: Knowledge Transfer in Deep Reinforcement Learning ICML 2021
Online Learning in Unknown Markov Games ICML 2021
A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021
Task-Optimal Exploration in Linear Dynamical Systems ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II ICML 2021
Quantum algorithms for reinforcement learning with a generative model ICML 2021
Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing ICML 2021
Robust Asymmetric Learning in POMDPs ICML 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021
Data-efficient Hindsight Off-policy Option Learning ICML 2021
On the Optimality of Batch Policy Optimization Algorithms ICML 2021
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021
Batch Value-function Approximation with Only Realizability ICML 2021