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
Solving OpenAI Pendulum-v0 using PPO
Use naive and learning model predictive control algorithm to control a pendulum.
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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