go2sea / DQfD
An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning
☆133Updated 7 years ago
Alternatives and similar repositories for DQfD:
Users that are interested in DQfD are comparing it to the libraries listed below
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 7 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆114Updated 6 years ago
- Code for hierarchical imitation learning and reinforcement learning☆290Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated 2 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆182Updated 7 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- implement of prioritized experience replay☆160Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- ☆272Updated 6 years ago
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- ☆91Updated last year
- Random Network Distillation pytorch☆247Updated 6 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆308Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆362Updated 4 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Constrained Policy Optimization☆317Updated 7 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆177Updated 4 months ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated last year
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 5 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Multitask Environments for RL☆275Updated 3 years ago