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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
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Papers (including subtopics)

Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs NIPS 2021
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem NIPS 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning NIPS 2021
History Aware Multimodal Transformer for Vision-and-Language Navigation 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
Sim and Real: Better Together 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
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers 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
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation 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