A reinforcement learning A3C implementation trained to play Super Mario Bros
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Updated
Jul 25, 2024 - Python
A reinforcement learning A3C implementation trained to play Super Mario Bros
Self Driving Racing Car Agent (Deep Deterministic Policy Gradient algorithm)
Master MVA - Reinforcement Learning Project
Programming Assignments for Reinforcement Learning Specialization
Implement soft actor critic in pytorch to play a game of balancing pendulum in openai gym.
Fly Quadcopter using Deep Reinforcement Learning
Course Project of the course Foundation of Intelligent Learning Agent(CS747)
Implementation of the DDPG algorithm to solve Continuous Control Reacher Environment
Reinforcement Learning - PPO (Proximal Policy Optimization) Implementation to Pong Game
Deep Q-Network, Actor-critic , Policy gradient implementation in python
A novel method to incorporate existing policy (Rule-based control) with Reinforcement Learning.
A Deep Deterministic Policy Gradient Actor-Critic reinforcement learning solution to the Unity-ML(Udacity) Reacher environment
This simulator implements the "Fictitious Mean-field Reinforcement-Learning" for Q-learning, Actor Critic and Stochastic Gradient Ascent algorithms in a distributed system. The setting includes strategic agents who compete over a set of heterogenous servers. Through experiments, we show that it outperforms the naive deployment of each RL algorithm.
Control Methods for Dynamic Systems based on Neural Networks
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity
Implementation of the actor critic algorithm for MountainCarContinuous-v0 OpenAI gym environment.
This Repository contains my projects!
Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world
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