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Filip Wolski
Filip Wolski
Member of Technical Staff, OpenAI
Verified email at openai.com
Title
Cited by
Cited by
Year
Proximal policy optimization algorithms
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
220022017
Hindsight experience replay
M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ...
Advances in neural information processing systems 30, 2017
30092017
Dota 2 with large scale deep reinforcement learning
C Berner, G Brockman, B Chan, V Cheung, P Dębiak, C Dennison, ...
arXiv preprint arXiv:1912.06680, 2019
20162019
Evolved policy gradients
R Houthooft, Y Chen, P Isola, B Stadie, F Wolski, OAI Jonathan Ho, ...
Advances in Neural Information Processing Systems 31, 2018
2882018
Proximal policy optimization algorithms. CoRR abs/1707.06347 (2017)
J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov
arXiv preprint arXiv:1707.06347, 2017
1622017
Dota 2 with large scale deep reinforcement learning
CB OpenAI, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680 2, 2019
1202019
Dota 2 with large scale deep reinforcement learning. arXiv 2019
C Berner, G Brockman, B Chan, V Cheung, P Debiak, C Dennison, ...
arXiv preprint arXiv:1912.06680, 0
53
Proximal policy optimization
J Schulman, O Klimov, F Wolski, P Dhariwal, A Radford
arXiv preprint arXiv:1707.06347, 2017
412017
Long-term planning and situational awareness in openai five
J Raiman, S Zhang, F Wolski
arXiv preprint arXiv:1912.06721, 2019
162019
Evolved Policy Gradients: Supplementary Materials
R Houthooft, RY Chen, P Isola, BC Stadie, F Wolski, J Ho, P Abbeel
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