Zhenye-Na / reinforcement-learning-stanfordLinks
πΉοΈ CS234: Reinforcement Learning, Winter 2019 | YouTube videos π
β306Updated 2 years ago
Alternatives and similar repositories for reinforcement-learning-stanford
Users that are interested in reinforcement-learning-stanford are comparing it to the libraries listed below
Sorting:
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019β169Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)β249Updated 4 years ago
- PyTorch implementation of deep reinforcement learning algorithmsβ494Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorchβ1,080Updated 4 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignmentsβ116Updated 2 years ago
- List of competitions related to Reinforcement Learningβ350Updated last year
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fraβ¦β138Updated 2 years ago
- β186Updated 3 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDβ¦β334Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duelβ¦β680Updated 4 years ago
- Notes and exercise solutions for second edition of Sutton & Barto's bookβ392Updated 2 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learningβ92Updated 6 years ago
- Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]β281Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)β222Updated 2 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"β500Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)β369Updated 5 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environmentsβ317Updated 3 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]β157Updated 4 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actionsβ632Updated 4 years ago
- Pytorch solutions for UC Berkeley's cs285 assignmentsβ139Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorchβ255Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorchβ345Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QTβ¦β1,256Updated 3 months ago
- Reinforcement Learning Algorithms Based on PyTorchβ448Updated 3 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 gamesβ551Updated 2 years ago
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]β107Updated 2 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learβ¦β1,225Updated 4 years ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.β819Updated 3 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)β218Updated 2 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototypingβ300Updated last year