jimkon / Deep-Reinforcement-Learning-in-Large-Discrete-Action-SpacesLinks
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
☆177Updated 7 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
Sorting:
- Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatib…☆66Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆181Updated 6 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆116Updated 2 years ago
- Mean Field Multi-Agent Reinforcement Learning☆396Updated 5 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 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 the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 7 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Code for hierarchical imitation learning and reinforcement learning☆292Updated 7 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆218Updated last year
- Implementation of algorithms for continuous control (DDPG and NAF).☆309Updated 4 years ago
- Constrained Policy Optimization☆320Updated 8 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- DGN Code☆353Updated 2 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Tensorflow + OpenAI Gym implementation of Deep Q-Network (DQN), Double DQN (DDQN), Dueling Network and Deep Deterministic Policy Gradient…☆77Updated 8 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆354Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆177Updated 7 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆369Updated 5 years ago
- An implementation of FeUdal Networks for Hierarchical Reinforcement Learning as published : https://arxiv.org/abs/1703.01161☆183Updated 7 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆425Updated last year
- Multi-Objective Reinforcement Learning☆277Updated 3 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆99Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago