Solving OpenAI Gym problems.

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Implement RL algorithms in PyTorch and test on Gym environments.

RL with OpenAI Gym

Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.

Solving OpenAI Pendulum-v0 using PPO

Use naive and learning model predictive control algorithm to control a pendulum.

Deep deterministic policy gradient (DDPG) in PyTorch 🚀

Solutions for Deep Neural Networks course at University of Warsaw.