abhishm / PGQLinks
PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.
☆15Updated 8 years ago
Alternatives and similar repositories for PGQ
Users that are interested in PGQ are comparing it to the libraries listed below
Sorting:
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 7 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Implementation of Deepmind's Neural Episodic Control☆59Updated 7 years ago
- ☆28Updated 7 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆80Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- ☆35Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning☆9Updated 7 years ago
- PyTorch implementation of SAC-Q Reinforcement Learning Algorithm (tested on OpenAI Gym environments)☆37Updated 4 years ago
- ☆43Updated 8 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆50Updated 6 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 7 years ago