conftrace_

temporal abstraction

75 papers

Explore in graph

Co-occurring keywords

hierarchical reinforcement learning (171) reinforcement learning (4352) option discovery (20) policy gradient (520) option framework (19) option learning (16) policy learning (702) hierarchical learning (87) skill discovery (45) model-based reinforcement learning (415)

Papers

Deep Reinforcement Learning with Hierarchical Structures IJCAI 2021
Complete Closed Time Intervals-Related Patterns Mining AAAI 2021
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition NIPS 2021
Augmenting Policy Learning with Routines Discovered from a Single Demonstration AAAI 2021
Temporally Abstract Partial Models NIPS 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021
Discovery of Options via Meta-Learned Subgoals NIPS 2021
Shaping embodied agent behavior with activity-context priors from egocentric video NIPS 2021
Clockwork Variational Autoencoders NIPS 2021
Data-efficient Hindsight Off-policy Option Learning ICML 2021
Hierarchical Reinforcement Learning with Timed Subgoals NIPS 2021
TAAC: Temporally Abstract Actor-Critic for Continuous Control NIPS 2021
Average-Reward Learning and Planning with Options NIPS 2021
Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020
Option Discovery in the Absence of Rewards with Manifold Analysis ICML 2020
Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020
Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) AAAI 2020
Learning Generalized Temporal Abstractions across Both Action and Perception AAAI 2019
Successor Options: An Option Discovery Framework for Reinforcement Learning IJCAI 2019
Advantage Amplification in Slowly Evolving Latent-State Environments IJCAI 2019
Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations IJCAI 2019
The Expected-Length Model of Options IJCAI 2019
Variational Temporal Abstraction NIPS 2019