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Reinforcement Learning
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Methods
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Deep RL
3,861 papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
Model-Based Reinforcement Learning via Imagination with Derived Memory
NIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions
NIPS 2021
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
NIPS 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
NIPS 2021
On the Estimation Bias in Double Q-Learning
NIPS 2021
Online learning in MDPs with linear function approximation and bandit feedback.
NIPS 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems
NIPS 2021
Information is Power: Intrinsic Control via Information Capture
NIPS 2021
Entropic Desired Dynamics for Intrinsic Control
NIPS 2021
Hierarchical Skills for Efficient Exploration
NIPS 2021
Generalized Proximal Policy Optimization with Sample Reuse
NIPS 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
NIPS 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients
NIPS 2021
Continual Auxiliary Task Learning
NIPS 2021
Tactical Optimism and Pessimism for Deep Reinforcement Learning
NIPS 2021
Outcome-Driven Reinforcement Learning via Variational Inference
NIPS 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
NIPS 2021
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
NIPS 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
NIPS 2021
Safe Reinforcement Learning by Imagining the Near Future
NIPS 2021
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
NIPS 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling
NIPS 2021
Neural Algorithmic Reasoners are Implicit Planners
NIPS 2021
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
NIPS 2021
Iterative Amortized Policy Optimization
NIPS 2021
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