Curiosity-Driven Exploration Effectiveness on Various Environments

Author:

Charoenpitaks Korawat1,Limpiyakorn Yachai1

Affiliation:

1. Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand

Publisher

ACM

Reference14 articles.

1. A. Aubret L. Matignon and S. Hassas "A survey on intrinsic motivation in reinforcement learning " arXiv preprint arXiv:1908.06976 2019. A. Aubret L. Matignon and S. Hassas "A survey on intrinsic motivation in reinforcement learning " arXiv preprint arXiv:1908.06976 2019.

2. B. Baker etal "Emergent tool use from multi-agent autocurricula " arXiv preprint arXiv:1909.07528 2019. B. Baker et al. "Emergent tool use from multi-agent autocurricula " arXiv preprint arXiv:1909.07528 2019.

3. G. Brockman etal "Openai gym " arXiv preprint arXiv:1606.01540 2016. G. Brockman et al. "Openai gym " arXiv preprint arXiv:1606.01540 2016.

4. Y. Burda H. Edwards D. Pathak A. Storkey T. Darrell and A. A. Efros "Large-scale study of curiosity-driven learning " arXiv preprint arXiv:1808.04355 2018. Y. Burda H. Edwards D. Pathak A. Storkey T. Darrell and A. A. Efros "Large-scale study of curiosity-driven learning " arXiv preprint arXiv:1808.04355 2018.

5. Y. Burda H. Edwards A. Storkey and O. Klimov "Exploration by random network distillation " arXiv preprint arXiv:1810.12894 2018. Y. Burda H. Edwards A. Storkey and O. Klimov "Exploration by random network distillation " arXiv preprint arXiv:1810.12894 2018.

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