| Proximal policy optimization algorithms J Schulman, F Wolski, P Dhariwal, A Radford, O Klimov arXiv preprint arXiv:1707.06347, 2017 | 20681 | 2017 |
| Hindsight experience replay M Andrychowicz, F Wolski, A Ray, J Schneider, R Fong, P Welinder, ... Advances in neural information processing systems 30, 2017 | 2913 | 2017 |
| 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 | 1928 | 2019 |
| Evolved policy gradients R Houthooft, Y Chen, P Isola, B Stadie, F Wolski, OAI Jonathan Ho, ... Advances in Neural Information Processing Systems 31, 2018 | 287 | 2018 |
| 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 | 154 | 2017 |
| 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 | 115 | 2019 |
| 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 | 51 | |
| Proximal policy optimization J Schulman, O Klimov, F Wolski, P Dhariwal, A Radford arXiv preprint arXiv:1707.06347, 2017 | 42 | 2017 |
| Long-term planning and situational awareness in openai five J Raiman, S Zhang, F Wolski arXiv preprint arXiv:1912.06721, 2019 | 15 | 2019 |
| Evolved Policy Gradients: Supplementary Materials R Houthooft, RY Chen, P Isola, BC Stadie, F Wolski, J Ho, P Abbeel | | |
