Augmenting learning using symmetry in a biologically-inspired domain. - Shruti Mishra; Abbas Abdolmaleki; Arthur Guez; Piotr Trochim; Doina Precup (CoRR, 2019)

Using Unity to Help Solve Intelligence. - Tom Ward; Andrew Bolt; Nik Hemmings; Simon Carter; Manuel Sanchez; Ricardo Barreira; Seb Noury; Keith Anderson; Jay Lemmon; Jonathan Coe; Piotr Trochim; Tom Handley; et al. (CoRR, 2020)

Learning Dynamics Models for Model Predictive Agents. - Michael Lutter; Leonard Hasenclever; Arunkumar Byravan; Gabriel Dulac-Arnold; Piotr Trochim; Nicolas Heess; Josh Merel; Yuval Tassa (CoRR, 2021)

Evaluating Model-Based Planning and Planner Amortization for Continuous Control. - Arunkumar Byravan; Leonard Hasenclever; Piotr Trochim; Mehdi Mirza; Alessandro Davide Ialongo; Yuval Tassa; Jost Tobias Springenberg; Abbas Abdolmaleki; Nicolas Heess; Josh Merel; Martin A. Riedmiller (ICLR, 2022)

Semi-analytical Industrial Cooling System Model for Reinforcement Learning. - Yuri Chervonyi; Praneet Dutta; Piotr Trochim; Octavian Voicu; Cosmin Paduraru; Crystal Qian; Emre Karagozler; Jared Quincy Davis; Richard Chippendale; Gautam Bajaj; Sims Witherspoon; Jerry Luo (CoRR, 2022)