IMM RL Lab's Projects
Wrappers for environments from Mujoco Gym and dm_control that make them deterministic
Examples of finite-horizon zero-sum differential games implemented as environments for reinforcement learning algorithms
Examples of finite-horizon optimal control problems implemented as environments for reinforcement learning algorithms
A toolkit for developing and comparing reinforcement learning algorithms.
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
The implementation of popular deep reinforcement learning algorithms
The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
Investigation of Reinforcement Learning algorithms for solving various Self-Driving Car problems