Oleg Klimov

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Markov Decision Processes

Top Venues

Publications

Ingmar Kanitscheider, Joost Huizinga, David Farhi, William Hebgen Guss, Brandon Houghton, Raul Sampedro, Peter Zhokhov, Bowen Baker, Adrien Ecoffet, Jie Tang, Oleg Klimov, Jeff Clune
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft. CoRR (2021)
Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
Phasic Policy Gradient. ICML (2021)
Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
Phasic Policy Gradient. CoRR (2020)
Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov
Exploration by random network distillation. ICLR (Poster) (2019)
Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman
Quantifying Generalization in Reinforcement Learning. ICML (2019)
Yuri Burda, Harrison Edwards, Amos J. Storkey, Oleg Klimov
Exploration by Random Network Distillation. CoRR (2018)
Alex Nichol, Vicki Pfau, Christopher Hesse, Oleg Klimov, John Schulman
Gotta Learn Fast: A New Benchmark for Generalization in RL. CoRR (2018)
Karl Cobbe, Oleg Klimov, Christopher Hesse, Taehoon Kim, John Schulman
Quantifying Generalization in Reinforcement Learning. CoRR (2018)
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, Oleg Klimov
Proximal Policy Optimization Algorithms. CoRR (2017)