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← Methods
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 RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
NIPS 2022
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
NIPS 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
NIPS 2022
The Pitfalls of Regularization in Off-Policy TD Learning
NIPS 2022
DNA: Proximal Policy Optimization with a Dual Network Architecture
NIPS 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches
NIPS 2022
Object-Category Aware Reinforcement Learning
NIPS 2022
A Simple Decentralized Cross-Entropy Method
NIPS 2022
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
NIPS 2022
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
NIPS 2022
Exploration via Elliptical Episodic Bonuses
NIPS 2022
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NIPS 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
NIPS 2022
Operator Splitting Value Iteration
NIPS 2022
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
NIPS 2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
CORL 2022
Walk These Ways: Tuning Robot Control for Generalization with Multiplicity of Behavior
CORL 2022
Graph Inverse Reinforcement Learning from Diverse Videos
CORL 2022
DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation
CORL 2022
Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL
CORL 2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
CORL 2022
Deep Black-Box Reinforcement Learning with Movement Primitives
CORL 2022
Solving Complex Manipulation Tasks with Model-Assisted Model-Free Reinforcement Learning
CORL 2022
ARC - Actor Residual Critic for Adversarial Imitation Learning
CORL 2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
CORL 2022
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