changebo / CS234-2020
Stanford CS234: Reinforcement Learning Winter 2020
☆18Updated last year
Related projects: ⓘ
- Stanford CS234: Reinforcement Learning assignments and practices☆31Updated last month
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆132Updated last year
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆12Updated 4 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆118Updated 2 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆163Updated last year
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆24Updated 2 years ago
- Stanford CS234 : Reinforcement Learning☆93Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆119Updated 3 years ago
- Assignment Solutions to CS234: Reinforcement learning course☆35Updated 6 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆77Updated last year
- ☆39Updated 4 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆21Updated last year
- Minimal implementation of multi-agent reinforcement learning algorithms☆48Updated 3 years ago
- Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)☆19Updated 4 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated last year
- My personal practice to implement algorithms of RL from scratch.☆33Updated 4 years ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆15Updated 9 months ago
- Reinforcement Learning for Gym CarRacing-v0 with PyTorch☆147Updated 5 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆250Updated 3 years ago
- Distributional Soft Actor Critic☆49Updated 4 years ago
- Implementation of Multi-Game Decision Transformers in PyTorch☆42Updated last year
- Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3☆96Updated 2 years ago
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆148Updated 3 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆41Updated 4 years ago
- Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk☆10Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆158Updated last month
- Pytorch starter code for UC Berkeley's cs285 assignments☆68Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆146Updated last year
- Prioritized Experience Replay implementation with proportional prioritization☆67Updated last year