XiaoxiaoGuo / atari_uct
Upper Confidence Tree Planner for ATARI games
☆19Updated 9 years ago
Alternatives and similar repositories for atari_uct:
Users that are interested in atari_uct are comparing it to the libraries listed below
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆94Updated 6 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
- ☆32Updated 2 years ago
- Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"☆37Updated 5 years ago
- ☆43Updated 8 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Code to train RL agents along with Adversarial distrubance agents☆64Updated 8 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- ☆35Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Tensorflow implementation of BootstrappedDQN using OpenAI baselines☆19Updated 4 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 6 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- FEN Code☆37Updated 5 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.☆10Updated 6 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- ☆65Updated last year
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago