matthieu637 / ddrlLinks
Deep Developmental Reinforcement Learning
☆29Updated 5 years ago
Alternatives and similar repositories for ddrl
Users that are interested in ddrl are comparing it to the libraries listed below
Sorting:
- An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Ga…☆61Updated 8 years ago
- Code for the Reset-free Trial and Error learning paper (RTE) experiments☆10Updated 7 years ago
- Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018☆66Updated 3 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 8 years ago
- Shared autonomy via deep reinforcement learning☆80Updated 2 years ago
- Guided-Meta Policy Search☆39Updated 2 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- ☆57Updated 3 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 4 years ago
- ☆54Updated 7 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- ☆35Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Gym environments for Robots that learn to interact with the environment autonomously☆34Updated 2 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆28Updated 8 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 8 years ago
- Augmented environments with RL☆103Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆65Updated 5 years ago
- A 150-lines python code for Augmented Random Search (https://arxiv.org/abs/1803.07055) with numpy.☆71Updated 6 years ago