Proximal Policy Optimization Algorithms. - John Schulman; Filip Wolski; Prafulla Dhariwal; Alec Radford; Oleg Klimov (CoRR, 2017)

Gotta Learn Fast: A New Benchmark for Generalization in RL. - Alex Nichol; Vicki Pfau; Christopher Hesse; Oleg Klimov; John Schulman (CoRR, 2018)

Exploration by random network distillation. - Yuri Burda; Harrison Edwards; Amos J. Storkey; Oleg Klimov (ICLR (Poster), 2019)

Quantifying Generalization in Reinforcement Learning. - Karl Cobbe; Oleg Klimov; Christopher Hesse; Taehoon Kim; John Schulman (ICML, 2019)

Phasic Policy Gradient. - Karl Cobbe; Jacob Hilton; Oleg Klimov; John Schulman (ICML, 2021)

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft. - 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 (CoRR, 2021)