DarylRodrigo / rl_libLinks
Series of deep reinforcement learning algorithms π€
β29Updated 4 years ago
Alternatives and similar repositories for rl_lib
Users that are interested in rl_lib are comparing it to the libraries listed below
Sorting:
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)β147Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,β¦β121Updated 4 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SACβ100Updated 6 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPOβ206Updated 3 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPβ¦β116Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computingβ135Updated 2 months ago
- Gridworld for MARL experimentsβ141Updated 4 years ago
- Lightweight multi-agent gridworld Gym environmentβ211Updated 2 years ago
- π³ Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.β69Updated 4 years ago
- β78Updated last year
- β40Updated 2 months ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithmsβ165Updated 2 years ago
- Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some eβ¦β53Updated 4 years ago
- Soft Actor-Critic with advanced featuresβ51Updated last week
- Adaptive Attention Span for Reinforcement Learningβ135Updated 5 years ago
- Minimal implementation of multi-agent reinforcement learning algorithmsβ59Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RLβ196Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.β53Updated 5 months ago
- PyTorch implementation of FQF, IQN and QR-DQN.β186Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)β163Updated 2 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled β¦β119Updated 11 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.β41Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)β229Updated 3 years ago
- Prioritized Experience Replay implementation with proportional prioritizationβ84Updated 2 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.β51Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various waysβ106Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.β327Updated 2 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennisβ30Updated 6 years ago
- Collection of OpenAI parametrized action-space environments.β66Updated 7 months ago
- DEPRECATED - please visit https://github.com/vwxyzjn/ppo-implementation-detailsβ46Updated 3 years ago