Co-occurring keywords · papers mentioning both
Papers
Extreme Q-Learning: MaxEnt RL without Entropy
ICLR 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
CoRL 2023
Finetuning Offline World Models in the Real World
CoRL 2023
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery
AAAI 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning
NeurIPS 2023
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
RSS 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer
ICML 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
NeurIPS 2023
Guide to Control: Offline Hierarchical Reinforcement Learning Using Subgoal Generation for Long-Horizon and Sparse-Reward Tasks
IJCAI 2023
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
ICLR 2023
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
ICLR 2023
Hierarchical Diffusion for Offline Decision Making
ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs
ICML 2023
HIQL: Offline Goal-Conditioned RL with Latent States as Actions
NeurIPS 2023
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks
NeurIPS 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
ICLR 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
NeurIPS 2023
In-sample Actor Critic for Offline Reinforcement Learning
ICLR 2023
Inverse Preference Learning: Preference-based RL without a Reward Function
NeurIPS 2023
Is Conditional Generative Modeling all you need for Decision Making?
ICLR 2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
NeurIPS 2023
Large Decision Models
IJCAI 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning
AAAI 2023
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer
NeurIPS 2023
Learning Temporally AbstractWorld Models without Online Experimentation
ICML 2023