Reinforcement learning solutions
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Updated
Apr 29, 2017 - Python
Reinforcement learning solutions
Implementing reinforcement learning algorithms using TensorFlow and Keras in OpenAI Gym
Clear explanations and simple implementations of Deep reinforcement learning Algorithms
PPO IMPLEMENTATION ON TENSORFLOW
Reinforcement learning, Policy Gradient, REINFORCE, Agent-based Simulation, Simple-world
Deep Reinforcement Learning implementation of Policy Gradient on a simple Grid-World problem using PyTorch.
A collection of RL algorithms written in PyTorch
Implementation of REINFORCE to solve OpenAI Gym's CartPole environment.
Example TRPO implementation with ReLAx
Example PPO implementation with ReLAx
Deep Q network and Policy gradient reinforcement learning alogrithms to play pacman
Code for [NeurIPS'2019 Spotlight] Policy Continuation with Hindsight Inverse Dynamics
Ben Gurion University "Deep Reinforcement Learning (372.2.5910)" course assignments & solutions
Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow
Work on SC2 minigames with reinforcement learning
Quickly learn policies for continuous control in sparse reward environments
Deep Q-Network, Actor-critic , Policy gradient implementation in python
Simple example of reinforcement learning using the "Policy Gradient" method to solve the optimized path of a maze.
Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.
Multi-Agent DRL task analysed as a part of a course project for CS698R-21, IITK
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