Implementation of a DDQN to play SMB for the NES.
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Updated
Jun 21, 2024 - Python
Implementation of a DDQN to play SMB for the NES.
Reinforcement Learning Implementations in PyTorch
This code is the result of the collaboration of RL Turkey team.
⛷ DQN and DDQN algorithms for OpenAI Gym Skiing environment 🎮
In this repository, we try to solve musculoskeletal tasks with `Double DQN reinforcement learning` by using a `transformer` model has been used as the base model architecture.
Reinforcement Learning
Deep reinforcement nano degree in Udacity - Prioritized Double DQN
Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning
A RL agent trained to play Mario using DDQN
Tensorflow based DQN and PyTorch based DDQN Agent for 'MountainCar-v0' openai-gym environment.
DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN
Implementing deep reinforcement learning algorithm for banana collector and other upcoming project. Using different technique such as Deep Q-network (DQN) and Double Deep Quick Network (DDQN)
Implementation and evaluation of the RL algorithm Rainbow to learn to play Atari games.
A repo contains my implementation and analysis of some well-known Reinforcement Learning problems and algorithms.
Reinforcement Learning Tutorials & other bedtime stories in PyTorch
q learning & deep q learning using pytorch
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