zeus7777777 / nav_a3cLinks
☆14Updated 7 years ago
Alternatives and similar repositories for nav_a3c
Users that are interested in nav_a3c are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of DeepMind paper - "Learning to Navigate in Complex Environments"☆63Updated 8 years ago
- Reinforcement learning with unsupervised auxiliary tasks☆23Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- Deep Reinforcement Learning with pytorch & visdom☆14Updated 5 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆132Updated 7 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Generalized Value Iteration Network☆24Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆180Updated 6 years ago
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated 8 months ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆105Updated 4 years ago
- Actor-critic with experience replay☆253Updated 2 years ago
- Vector-based navigation using grid-like representations in artificial agents☆19Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- ☆133Updated 6 years ago
- Tensorflow implementation of generative adversarial imitation learning☆200Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- [ICLR 2018] Tensorflow/Keras code for Semi-parametric Topological Memory for Navigation☆104Updated 6 years ago
- Tensorflow implementation of BootstrappedDQN using OpenAI baselines☆19Updated 4 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆113Updated 2 years ago
- CommNet and BiCnet implementation in tensorflow☆56Updated 6 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆180Updated 6 months ago
- multi-agent reinforcement learning for competitive environments using pytorch☆13Updated 5 years ago