LyWangPX / Reinforcement_Learning_Coding_ExamplesLinks
My personal practice to implement algorithms of RL from scratch.
☆35Updated 5 years ago
Alternatives and similar repositories for Reinforcement_Learning_Coding_Examples
Users that are interested in Reinforcement_Learning_Coding_Examples are comparing it to the libraries listed below
Sorting:
- A curated list of awesome Model-based reinforcement learning resources☆93Updated 4 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆48Updated 6 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 5 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023☆71Updated 7 months ago
- ☆73Updated 4 years ago
- Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.☆54Updated 2 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆27Updated 3 weeks ago
- ☆75Updated 6 years ago
- ☆74Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆60Updated 4 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆138Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Distributional Soft Actor Critic☆53Updated 5 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆47Updated last year
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆55Updated last year
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆29Updated 2 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆22Updated 4 years ago
- A library for mean-field games.☆53Updated this week
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Implementation of the Deep Deterministic Policy Gradient and Hindsight Experience Replay.☆98Updated 3 weeks ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆116Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆62Updated 11 months ago
- A list of safe reinforcement learning papers☆20Updated 5 years ago
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.☆80Updated 4 years ago
- Factored model-based Bayesian Reinforcement Learning framework☆21Updated 2 years ago