seungjaeryanlee / awesome-rl-competitionsLinks
List of competitions related to Reinforcement Learning
☆350Updated last year
Alternatives and similar repositories for awesome-rl-competitions
Users that are interested in awesome-rl-competitions are comparing it to the libraries listed below
Sorting:
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆518Updated 3 years ago
- Structural implementation of RL key algorithms☆516Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆558Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- PyTorch implementation of deep reinforcement learning algorithms☆493Updated 4 years ago
- Loose taxonomy of reinforcement learning algorithms☆187Updated 5 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Updated 3 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆490Updated last year
- Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...☆420Updated 4 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆266Updated 5 years ago
- Real-World RL Benchmark Suite☆360Updated 5 years ago
- Keeping track of RL experiments☆165Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆230Updated 3 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆356Updated 5 years ago
- Deep reinforcement learning model implementation in Tensorflow + OpenAI gym☆308Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆249Updated 4 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆305Updated 2 years ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆703Updated last year
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆220Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆331Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆328Updated 2 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆451Updated 4 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆374Updated 2 years ago
- A Python interface for reinforcement learning environments☆387Updated 2 years ago
- Tools for accelerating safe exploration research.☆573Updated 2 years ago
- Random Network Distillation pytorch☆256Updated 6 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆688Updated 4 years ago
- ☆183Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆552Updated last year