erfanMhi / Deep-Reinforcement-Learning-CS285-PytorchLinks
Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
☆142Updated 2 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-CS285-Pytorch
Users that are interested in Deep-Reinforcement-Learning-CS285-Pytorch are comparing it to the libraries listed below
Sorting:
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆144Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆145Updated 3 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆72Updated 3 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆228Updated 3 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆148Updated 3 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆169Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆249Updated 4 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆100Updated 5 months ago
- Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.☆83Updated 5 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆105Updated 3 years ago
- Experiments with reinforcement learning and recurrent neural networks☆115Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆193Updated 2 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆135Updated 2 months ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆57Updated 2 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- Loose taxonomy of reinforcement learning algorithms☆187Updated 5 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Soft Actor-Critic with advanced features☆51Updated last week
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 9 months ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆309Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆251Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆108Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DD…☆343Updated 2 years ago
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆93Updated 6 years ago