amitp-ai / Deep_Reinforcement_Learning
Udacity's Deep Reinforcement Learning Nano-Degree
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Deep_Reinforcement_Learning
- This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.☆19Updated 5 years ago
- This repository contains the game bubble shooter as a gym environment. Based on: https://github.com/justinmeister/bubbleshooter☆17Updated 4 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paper☆38Updated 5 years ago
- research and implementations of Deep RL agents and their applications☆47Updated 3 weeks ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆173Updated last year
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆101Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated last year
- ☆16Updated 4 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- ☆91Updated 3 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 4 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 4 years ago
- Proximal Policy Optimization implementation with TensorFlow☆104Updated 6 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆73Updated 4 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆82Updated last year
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆63Updated 5 years ago
- Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.☆45Updated 5 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆65Updated 2 years ago
- ☆72Updated last year
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆36Updated 5 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆46Updated 3 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆65Updated 7 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago
- Code for the paper "Importance Weighted Transfer of Samples in Reinforcement Learning" (ICML 2018).☆16Updated 6 years ago
- Some notebooks☆64Updated 3 years ago