Silvicek / distributional-dqnLinks
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
☆132Updated 6 years ago
Alternatives and similar repositories for distributional-dqn
Users that are interested in distributional-dqn are comparing it to the libraries listed below
Sorting:
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆179Updated 7 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- implement of prioritized experience replay☆159Updated 7 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- ☆43Updated 8 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- Code for hierarchical imitation learning and reinforcement learning☆295Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 4 years ago
- Tensorflow implementation of generative adversarial imitation learning☆199Updated 7 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 9 years ago
- Hybrid Reward Architecture☆78Updated 7 years ago