Improving Policy Optimization with Generalist|Specialist Learning

Improving Policy Optimization with Generalist-Specialist Learning

We propose a novel generalist-specialist training framework. Specifically, we first train a generalist on all environment variations; when it fails to improve, ...

Improving Policy Optimization with Generalist-Specialist Learning

Generalization in deep reinforcement learning over unseen environment variations usually re- quires policy learning over a large set of diverse.

Improving Policy Optimization with Generalist-Specialist Learning

We show that this framework pushes the envelope of policy learning on several challenging and popular benchmarks including. Procgen, ManiSkill and Meta-World. 1 ...

Improving Policy Optimization with Generalist-Specialist Learning

Improving Policy Optimization with Generalist-Specialist Learning. Presenter: Zhiwei Jia. Email: [email protected]. ○ Generalization in RL requires large ...

SeanJia/GSL: Generalist-Specialist Learning - GitHub

Improving Policy Optimization with Generalist-Specialist Learning ... Generalist-specialist learning (GSL) is a meta-algorithm for large-scale policy learning. We ...

Improving Policy Optimization with Generalist-Specialist Learning

This work proposes a novel generalist-specialist training framework and shows that this framework pushes the envelope of policy learning on several ...

Improving Policy Optimization with Generalist-Specialist Learning

We finally resume the training of the generalist with auxiliary rewards induced by demonstrations of all specialists. In particular, we investigate the timing ...

Improving policy optimization with generalist-specialist learning. In ...

Jia, Z., Li, X., Ling, Z., Liu, S., Wu, Y., & and Su, H. Improving policy optimization with generalist-specialist learning. In International ...

GSL - Zhiwei Jia

Improving Policy Optimization with Generalist-Specialist Learning · Train a generalist jointly on all training env. variations · Stop when it plateaus according ...

GSL-PCD: Improving Generalist-Specialist Learning with Point ...

The Generalist-Specialist Learning (GSL) framework addresses this by first training a generalist on all variations, then creating specialists ...

ENHANCING POLICY OPTIMIZATION FOR IMPROVED SAMPLE ...

ENHANCING POLICY OPTIMIZATION FOR IMPROVED SAMPLE EFFICIENCY AND GENERALIZATION IN DEEP REINFORCEMENT LEARNING.

Zhiwei Jia - DBLP

Improving Policy Optimization with Generalist-Specialist Learning. ICML 2022: 10104-10119. [c7]. view. electronic edition via DOI · unpaywalled version ...

‪Shuang Liu‬ - ‪Google Scholar‬

Improving policy optimization with generalist-specialist learning. Z Jia, X Li, Z Ling, S Liu, Y Wu, H Su. International Conference on Machine Learning, 10104- ...

kaixin96/rl-generalization-paper - GitHub

[ICML 2022] Improving Policy Optimization with Generalist-Specialist Learning; [ICML 2022] Learning Dynamics and Generalization in Reinforcement Learning ...

Training curve of PPO on the brush-like maze. The generalist learns...

... specialists (cloned from the generalist) learn to solve individual goals better ... Improving Policy Optimization with Generalist-Specialist Learning. Preprint.

Xuanlin Li | Papers With Code

In this work, we present the first comprehensive study of regularization techniques with multiple policy optimization algorithms on continuous control tasks.

Policy Optimization using Horizon Regularized Advantage to ...

We also incorporate HRA into another generalization-specific approach (APDAC), and the results indicate further improvement in APDAC's ...

Policy Optimization using Horizon Regularized Advantage to ...

In this work, we focus on improving the generalization performance of a reinforcement learning (RL) agent in diverse environments. We observe ...

‪Zhiwei Jia‬ - ‪Google Scholar‬

Improving Policy Optimization with Generalist-Specialist Learning. Z Jia, X Li, Z Ling, S Liu, Y Wu, H Su. ICML 2022, 2022. 22, 2022. Information-Theoretic ...

Track: Reinforcement Learning: Deep RL

Improving Policy Optimization with Generalist-Specialist Learning. Zhiwei Jia · Xuanlin Li · Zhan Ling · Shuang Liu · Yiran Wu · Hao Su. Generalization in ...