EliorBenYosef / reinforcement-learningLinks
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
☆16Updated last year
Alternatives and similar repositories for reinforcement-learning
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆229Updated 3 years ago
- Exploring bayesian strategies for approximating optimal actions in POMDPs☆14Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 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
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆150Updated 4 years ago
- General Python implementation of Monte Carlo Tree Search for the use with Open AI Gym environments.☆40Updated 5 years ago
- RLlib tutorials☆66Updated 3 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago
- ☆184Updated 3 years ago
- RL Algorithms☆13Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 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
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆118Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Simple, readable, yet full-featured implementation of PPO in Pytorch☆49Updated 6 months ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆332Updated 3 years ago
- Policy Gradient Actor-Critic PyTorch | Lunar Lander v2☆74Updated 6 years ago
- Cellular Automata Environments for Reinforcement Learning☆45Updated 8 months ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 2 months ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆197Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago