BY571 / Deep-Reinforcement-Learning-Algorithm-CollectionLinks
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
☆78Updated 4 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-Algorithm-Collection
Users that are interested in Deep-Reinforcement-Learning-Algorithm-Collection are comparing it to the libraries listed below
Sorting:
- 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
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- ☆42Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- ☆184Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆320Updated 3 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆59Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 5 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 11 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Lightweight multi-agent gridworld Gym environment☆209Updated last year
- research and implementations of Deep RL agents and their applications☆56Updated 3 weeks ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆182Updated last year
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆70Updated 11 months ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆41Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆58Updated 3 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆213Updated 2 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago