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)
OpenAI MountainCar-v0 DeepRL-based solutions (DQN, DuelingDQN, D3QN)
An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.
A simple baseline for mountain-car @ gym
Solving MountainCar-v0 environment in Keras with Deep Q Learning an Deep Reinforcement Learning algorithm
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
Applied various Reinforcement Learning (RL) algorithms to determine the optimal policy for diverse Markov Decision Processes (MDPs) specified within the OpenAI Gym library
PGuNN - Playing Games using Neural Networks
Deep RL agent for solving MountainCar-v0 environment.
Deep RL on OpenAI gym environment
Mountain car problem via Q-learning.
This repo constains the implementation of REINFORCE and REINFORCE-Baseline algorithm on Mountain car problem.
opengym mountain car continuous model trained with actor critic method
A solution for the MountainCar-v0 problem of the Gym environment
Mountain Car is a Gym environment. I used this environment to train my model using Q-Learning which is a reinforcement learning technic.
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