Co-occurring keywords · papers mentioning both
Papers
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization
ICLR 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
ICML 2021
Fast Rates for the Regret of Offline Reinforcement Learning
COLT 2021
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
AISTATS 2021
Implicit Behavioral Cloning
CoRL 2021
Instabilities of Offline RL with Pre-Trained Neural Representation
ICML 2021
Is Pessimism Provably Efficient for Offline RL?
ICML 2021
Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation
CoRL 2021
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
NeurIPS 2021
Model-Based Offline Planning
ICLR 2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
NeurIPS 2021
Nearly Horizon-Free Offline Reinforcement Learning
NeurIPS 2021
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
NeurIPS 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
AISTATS 2021
Near Optimal Reward-Free Reinforcement Learning
ICML 2021
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
NeurIPS 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
NeurIPS 2021
Offline Meta-Reinforcement Learning with Advantage Weighting
ICML 2021
Offline Model-based Adaptable Policy Learning
NeurIPS 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
NeurIPS 2021
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks
ACL 2021
Offline Reinforcement Learning from Images with Latent Space Models
L4DC 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
ICML 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
Offline Reinforcement Learning with Reverse Model-based Imagination
NeurIPS 2021