tobiassteidle / Reinforcement-LearningLinks
Solutions for different Reinforcement Learning environments
☆25Updated 10 months ago
Alternatives and similar repositories for Reinforcement-Learning
Users that are interested in Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆50Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆43Updated 2 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 6 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆32Updated 3 years ago
- research and implementations of Deep RL agents and their applications☆51Updated 3 weeks ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.☆37Updated 2 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- [2019] (Neurips workshop paper) Blending behavioral cloning and RL☆9Updated 2 years ago
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆95Updated 2 years ago
- Soft Actor-Critic with advanced features☆50Updated last week
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated 11 months ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 7 years ago