Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
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Updated
Jun 7, 2020 - Python
Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
Provide a fast (cpp-version) of Prioritized Experience Replay in Reinforcement Learning
Reinforcement learning: Continuous control with DDPG and prioritized experience replay
Deep Q-Learning agent learns how to navigate a world full of bananas. Part of the coursework for Udacity's Deep RL Nanodegree.
Reinforcement learning project. The objective is to learn an asymmetric distance function over states that will allow goal-pursuing.
A Reinforcement Learning library for solving custom environments
Prioritized Experience Replay for Reinforcement Learning
Implementations of deep reinforcement learning algorithms.
심층강화학습기반 장애물과 신호등을 고려한 다차선 자율주행 연구
Project 2 of Udacity's Deep Reinforcement Learning NanoDegree
A deep reinforcement learning project (a part of Deep RL nano-degree)
Example Rainbow DQN implementation with ReLAx
Ms Pacman DDQN Agent
Implementation of RL Algorithms with PyTorch.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Tests SOTA algorithms using pendulum as baseline environment
A RL agent that learns to play doom's deadly corridor based on DDQN and PER.
Implementation of project 1 for Udacity's Deep Reinforcement Learning Nanodegree
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