dillonalaird / deep-rl-tensorflowLinks
TensorFlow implementation of Deep Reinforcement Learning papers
☆28Updated 8 years ago
Alternatives and similar repositories for deep-rl-tensorflow
Users that are interested in deep-rl-tensorflow 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 selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Cool Inverse Reinforcement Learning Papers☆124Updated 8 years ago
- ☆54Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 8 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 8 years ago
- Highly Modular and Scalable Reinforcement Learning☆118Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆94Updated 7 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Deep Variational Reinforcement Learning☆138Updated 3 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 8 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 6 years ago
- Implement A3C for Mujoco gym envs☆73Updated 8 years ago
- Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function,…☆64Updated 8 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Hybrid Reward Architecture☆78Updated 7 years ago
- I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…☆52Updated 5 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago