jimkon / Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
☆175Updated 6 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces:
Users that are interested in Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces are comparing it to the libraries listed below
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 2 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆83Updated 7 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆131Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- Actor-critic with experience replay☆252Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- Mean Field Multi-Agent Reinforcement Learning☆387Updated 4 years ago
- Code for hierarchical imitation learning and reinforcement learning☆288Updated 6 years ago
- implement of prioritized experience replay☆159Updated 6 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆69Updated 5 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆112Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆316Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆290Updated last year
- RainBow, Tensorflow☆49Updated 6 years ago
- DGN Code☆342Updated last year
- Implementation of algorithms for continuous control (DDPG and NAF).☆307Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 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
- ☆76Updated 7 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆181Updated 7 years ago
- ☆83Updated 3 years ago
- ☆73Updated 5 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 6 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆181Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆101Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆91Updated last year
- advantage actor-critic reinforcement learning for openai gym cartpole☆63Updated 7 years ago
- Constrained Policy Optimization☆310Updated 7 years ago