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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)

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning NIPS 2021
Curriculum Offline Imitating Learning NIPS 2021
Bellman-consistent Pessimism for Offline Reinforcement Learning NIPS 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret NIPS 2021
Teachable Reinforcement Learning via Advice Distillation NIPS 2021
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees NIPS 2021
BooVI: Provably Efficient Bootstrapped Value Iteration NIPS 2021
Online Robust Reinforcement Learning with Model Uncertainty NIPS 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble NIPS 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation NIPS 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation NIPS 2021
A Provably Efficient Sample Collection Strategy for Reinforcement Learning NIPS 2021
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NIPS 2021
Proper Value Equivalence NIPS 2021
On the Expressivity of Markov Reward NIPS 2021
Multi-Agent Reinforcement Learning in Stochastic Networked Systems NIPS 2021
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning NIPS 2021
Learning Markov State Abstractions for Deep Reinforcement Learning NIPS 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization NIPS 2021
Offline Model-based Adaptable Policy Learning NIPS 2021
Adversarial Intrinsic Motivation for Reinforcement Learning NIPS 2021
Ranking Policy Decisions NIPS 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation NIPS 2021
Model-Based Reinforcement Learning via Imagination with Derived Memory NIPS 2021