Co-occurring keywords · papers mentioning both
Papers
Regularity as Intrinsic Reward for Free Play
NeurIPS 2023
Reinforcement Learning with History Dependent Dynamic Contexts
ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
ICML 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
NeurIPS 2023
Revisiting Implicit Differentiation for Learning Problems in Optimal Control
NeurIPS 2023
SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering
RSS 2023
Simplified Temporal Consistency Reinforcement Learning
ICML 2023
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective
ICLR 2023
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
ICML 2023
SpeedyZero: Mastering Atari with Limited Data and Time
ICLR 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
ICML 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
NeurIPS 2023
Task-aware world model learning with meta weighting via bi-level optimization
NeurIPS 2023
Taylor TD-learning
NeurIPS 2023
The Benefits of Model-Based Generalization in Reinforcement Learning
ICML 2023
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
ICML 2023
Thinker: Learning to Plan and Act
NeurIPS 2023
Transformer-based World Models Are Happy With 100k Interactions
ICLR 2023
Transformers are Sample-Efficient World Models
ICLR 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
UAI 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
Video Prediction Models as Rewards for Reinforcement Learning
NeurIPS 2023
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
NeurIPS 2023
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective
L4DC 2022
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
ICML 2022