sparisi / tensorlLinks
Simple and self-contained TensorFlow implementation of reinforcement learning algorithms for continuous control, integrated with OpenAI Gym and other physics engines.
☆11Updated 5 years ago
Alternatives and similar repositories for tensorl
Users that are interested in tensorl are comparing it to the libraries listed below
Sorting:
- TD-Regularized Actor-Critic Methods☆36Updated 6 years ago
- hierarchical Q-learning implementation☆11Updated 10 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 6 years ago
- TensorFlow & Keras implementation of DQN with HER (Hindsight Experience Replay)☆40Updated 5 years ago
- ☆92Updated 5 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆195Updated last year
- a simple demo of pendulem control using DDPG algorithm☆13Updated 8 years ago
- Proximal Policy Optimization implementation with TensorFlow☆108Updated 7 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆48Updated 7 years ago
- PyTorch implementation of various reinforcement learning algorithms☆18Updated 7 years ago
- Multiagent reinforcement learning simulation framework - Undergraduate thesis in Mechatronics Engineering at the University of Brasília☆68Updated 7 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆56Updated 3 years ago
- Recurrent Deterministic Policy Gradient actor-critic based Reinforcement Learning algorithm in Action☆37Updated 11 months ago
- RainBow, Tensorflow☆49Updated 7 years ago
- Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras☆160Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 7 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Updated 9 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 3 years ago
- C51-DDQN in Keras☆127Updated 8 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 6 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 6 months ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆88Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 7 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆178Updated 3 years ago
- Inverse Reinforcement Learning Argorithms☆53Updated 6 years ago