amitp-ai / Deep_Reinforcement_LearningLinks
Udacity's Deep Reinforcement Learning Nano-Degree
☆17Updated 4 years ago
Alternatives and similar repositories for Deep_Reinforcement_Learning
Users that are interested in Deep_Reinforcement_Learning are comparing it to the libraries listed below
Sorting:
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Multi-Agent DRiving Simulator☆92Updated 4 years ago
- ☆57Updated 7 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆49Updated 7 years ago
- Implementation of reinforcement learning approach to make a car learn to drive☆111Updated 2 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…☆146Updated 6 years ago
- Labs for understanding and coding Standard Reinforcement Learning concepts☆56Updated 6 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 8 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆38Updated 6 years ago
- Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym☆40Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- New reinforcement algorithm base on DDPG☆18Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆58Updated 3 weeks ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.☆20Updated 6 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆93Updated 6 years ago
- Project 3 of Udacity's Deep Reinforcement Learning nanodegree program.☆45Updated 6 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- A new Reinforcement Learning Environment☆36Updated 4 years ago
- An environment for an obstacle avoidance task☆35Updated 4 years ago
- Simple bit flipping with sparse rewards using HER, similarly to the original paper☆39Updated 6 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago