imm-rl-lab
Scientific lab of N.N. Krasovskii Institute of Mathematics and Mechanics. Incharge: Anton Plaksin (a.r.plaksin@gmail.com)
N.N. Krasovskii Institute of Mathematics and Mechanics of the Ural Branch of the Russian Academy of SciencesYekaterinburg
Pinned Repositories
deterministic_mujoco_gym
Wrappers for environments from Mujoco Gym and dm_control that make them deterministic
differential_game_gym
Examples of finite-horizon zero-sum differential games implemented as environments for reinforcement learning algorithms
finite-horizon_control_gym
Examples of finite-horizon optimal control problems implemented as environments for reinforcement learning algorithms
gym
A toolkit for developing and comparing reinforcement learning algorithms.
q-learning_with_bounded_naf
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
reinforcement_learning_baseline
The implementation of popular deep reinforcement learning algorithms
reinforcement_learning_course
The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
self-driving_car
Investigation of Reinforcement Learning algorithms for solving various Self-Driving Car problems
optimal-control-rl-lab
Research of usage deep reinfocrement learning to solve differential games problems
imm-rl-lab's Repositories
imm-rl-lab/reinforcement_learning_course
The page of the Ural Federal University course "Reinforcement Learning and Neural Networks"
imm-rl-lab/differential_game_gym
Examples of finite-horizon zero-sum differential games implemented as environments for reinforcement learning algorithms
imm-rl-lab/q-learning_with_bounded_naf
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
imm-rl-lab/reinforcement_learning_baseline
The implementation of popular deep reinforcement learning algorithms
imm-rl-lab/self-driving_car
Investigation of Reinforcement Learning algorithms for solving various Self-Driving Car problems
imm-rl-lab/deterministic_mujoco_gym
Wrappers for environments from Mujoco Gym and dm_control that make them deterministic
imm-rl-lab/finite-horizon_control_gym
Examples of finite-horizon optimal control problems implemented as environments for reinforcement learning algorithms
imm-rl-lab/gym
A toolkit for developing and comparing reinforcement learning algorithms.