rrti / maxq
hierarchical Q-learning implementation
☆11Updated 9 years ago
Alternatives and similar repositories for maxq:
Users that are interested in maxq are comparing it to the libraries listed below
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- ☆27Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Reinforcement learning benchmarking.☆40Updated 6 years ago
- This is my implementation of the Optimality Tightening☆37Updated 7 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆21Updated 6 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- ☆11Updated 2 years ago
- Code implementation of: "Graying the black box: Understanding DQNs"☆20Updated 8 years ago
- Python implementation of tabular asynchronous actor critic☆11Updated 8 years ago
- A2C for GVG-AI☆21Updated 6 years ago
- Keras implementation of Curiosity-driven Exploration by Self-supervised Prediction☆8Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- ☆43Updated 8 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Reinforcement Learning and Deep Learning Resources☆16Updated 6 years ago
- A small tool to parse a POMDP and load into python objects.☆37Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago