iamhectorotero / rlai-exercisesLinks
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
☆157Updated 4 years ago
Alternatives and similar repositories for rlai-exercises
Users that are interested in rlai-exercises are comparing it to the libraries listed below
Sorting:
- Notes and exercise solutions for second edition of Sutton & Barto's book☆392Updated 2 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆169Updated 2 years ago
- List of competitions related to Reinforcement Learning☆350Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆334Updated 2 years ago
- Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)☆157Updated 5 years ago
- Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction☆90Updated 6 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆107Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆288Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆345Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆306Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆500Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆494Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆222Updated 2 years ago
- ☆184Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆230Updated 5 months ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated 2 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
- Hello, I pushed some python environments for Multi Agent Reinforcement Learning.☆712Updated 3 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆92Updated 6 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆249Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆314Updated 2 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆178Updated 11 months ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- multi-agent deep reinforcement learning for networked system control.☆417Updated 4 years ago
- ☆186Updated 3 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆193Updated 2 years ago
- ☆27Updated 3 months ago