Solving OpenAI Gym problems.
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Updated
Jan 12, 2021 - Python
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
Use naive and learning model predictive control algorithm to control a pendulum.
Solving OpenAI Pendulum-v0 using PPO
Deep RL implementations. DQN, SAC, DDPG, TD3, PPO and VPG implemented in pytorch. Tested Env: LunarLander-v2 and Pendulum-v0.
Deep deterministic policy gradient (DDPG) in PyTorch 🚀
Solutions for Deep Neural Networks course at University of Warsaw.
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