ducandu / RL-Implementation-IMPALA
A Test-Implementation of the IMPALA algorithm (by deepmind 2018)
☆35Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for RL-Implementation-IMPALA
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆101Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆74Updated 2 years ago
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆86Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆70Updated 7 years ago
- ☆35Updated 6 years ago
- PyTorch implementation of CommNet☆36Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated last year
- Proximal Policy Optimization implementation with TensorFlow☆104Updated 6 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆178Updated 7 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 2 years ago
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 4 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆180Updated 6 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆135Updated 7 months ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 6 years ago
- The state-of-art deep rl algorithms for Montezuma's revenge☆25Updated 6 years ago
- ☆77Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆112Updated 6 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- Implementation of Deepmind's Neural Episodic Control☆57Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆232Updated 2 years ago
- PyTorch implementation of Proximal Policy Optimization☆50Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆199Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 3 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 6 years ago
- Hierarchical Deep RL Network☆30Updated 7 years ago