This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
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Updated
Jan 16, 2021 - Python
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
PyTorch implementation of Trust Region Policy Optimization
Python implementation of some numerical (optimization) methods
A trading bitcoin agent was created with deep reinforcement learning implementations.
Trust Region Policy Optimization (TRPO) in pure TensorFlow
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
A collection of Reinforcement Learning implementations with PyTorch
Benchmarking the Natural Gradient in Policy Gradient Methods and Evolution Strategies
works about solving nonlinear dynamic systems
Undergraduate Dissertation (University of Malta) 2020-2023 - 'Autonomous Drone Control using Reinforcement Learning''
My solutions to the labs from this bootcamp:
Course projects of CS395T Numerical Optimization, UT Austin
The pytorch implemetation of trpo
Scheduling TRPO's KL Divergence Constraint
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