Offline RL
1,025 papers
Papers per year
2
1
1
1
2
2
3
2
6
4
10
29
64
117
148
215
233
151
34
'10
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Papers
Constrained Offline Policy Optimization
ICML 2022
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning
AAAI 2022
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
AAAI 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
ICLR 2022
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation
ICLR 2022
Corruption-robust Offline Reinforcement Learning
AISTATS 2022
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning
ICLR 2022
d3rlpy: An Offline Deep Reinforcement Learning Library
JMLR 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
ICLR 2022
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning
NeurIPS 2022
Data-Driven Offline Decision-Making via Invariant Representation Learning
NeurIPS 2022
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
NeurIPS 2022
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning
AAAI 2022
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations
ICLR 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
ICML 2022
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination
NeurIPS 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
ICML 2022
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
ICLR 2022
Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning
CoRL 2022
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments
NeurIPS 2022
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
NeurIPS 2022
Few-Shot Preference Learning for Human-in-the-Loop RL
CoRL 2022
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
CoRL 2022
Generalized Decision Transformer for Offline Hindsight Information Matching
ICLR 2022
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch
JMLR 2022