artem-oppermann / Deep-Reinforcement-Learning
A collection of several Deep Reinforcement Learning techniques (Deep Q Learning, Policy Gradients, ...), gets updated over time.
☆36Updated 5 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
- Reinforcement Learning using Policy Gradient to solve OpenAI Gym games☆113Updated 7 years ago
- Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.☆48Updated 7 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆71Updated 3 years ago
- Open source collection of Reinforcement Learning Environments.☆76Updated last year
- Minimal implementations of reinforcement learning algorithms by Tensorflow☆29Updated 7 years ago
- PPO implementation for OpenAI gym environment based on Unity ML Agents☆149Updated 7 years ago
- ☆16Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆174Updated 2 years ago
- This is the code for "Actor Critic Algorithms" by Siraj Raval on Youtube☆75Updated 7 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆46Updated 4 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 7 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 4 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.☆29Updated 7 years ago
- Repository of deep learning and robotics related practice projects.☆43Updated 4 years ago
- RainBow, Tensorflow☆49Updated 7 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆102Updated 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
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆159Updated 5 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- Extensions of Deep Q Learning☆26Updated 6 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆102Updated 5 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆106Updated 2 years ago
- Using the deep reinforcement learning algorithm A3C to train my agent to play the Atari game Breakout!☆32Updated 6 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- DQN, DDDQN, A3C, PPO, Curiosity applied to the game DOOM☆84Updated 4 years ago