Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated
Exploration

Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration

19 July 2021

Filippos Christianos

Josiah P. Hanna

Stefano V. Albrecht

Papers citing "Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration"

10 / 10 papers shown

Title
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 38 1 0 07 Oct 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference Andrew Zhao Erle Zhu Rui Lu Matthieu Lin Yong-Jin Liu Gao Huang SSL 31 1 0 16 Nov 2023
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 29 1 0 30 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 26 1 0 12 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning Trevor A. McInroe Adam Jelley Stefano V. Albrecht Amos Storkey OffRL OnRL 18 6 0 09 Oct 2023
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks Wenke Huang Filippos Christianos Zhibin Li 32 8 0 28 Sep 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 28 24 0 29 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 20 17 0 23 May 2023
Redeeming Intrinsic Rewards via Constrained Optimization Eric Chen Zhang-Wei Hong J. Pajarinen Pulkit Agrawal OnRL 28 23 0 14 Nov 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 334 1,951 0 04 May 2020