BY571 / Deep-Reinforcement-Learning-Algorithm-CollectionLinks
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
☆79Updated 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 …☆120Updated 11 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- ☆184Updated 3 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 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
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆30Updated 6 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- ☆42Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 4 years ago
- Solving POMDP using Recurrent networks☆91Updated 5 years ago
- Soft Actor-Critic with advanced features☆51Updated 2 weeks ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Experiments with reinforcement learning and recurrent neural networks☆115Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆146Updated 3 years ago
- Gridworld for MARL experiments☆142Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆227Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆60Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated last month
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆97Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago