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…☆65Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆127Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆356Updated 6 years ago
- Mean Field Multi-Agent Reinforcement Learning☆397Updated 5 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆219Updated last year
- Constrained Policy Optimization☆322Updated 8 years ago
- Code for hierarchical imitation learning and reinforcement learning☆294Updated 7 years ago
- DGN Code☆355Updated 2 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- Implementation of algorithms for continuous control (DDPG and NAF).☆311Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆116Updated 2 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 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 9 months ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆319Updated 3 years ago
- research and implementations of Deep RL agents and their applications☆55Updated last week
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆346Updated 5 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆638Updated 4 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- ☆77Updated 7 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Multi-Objective Reinforcement Learning☆282Updated 3 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆430Updated last year
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago