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
A collection of Reinforcement Learning implementations with PyTorch
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
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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