Officium / RL-ExperimentsLinks
High-quality implementations of deep reinforcement learning algorithms for experiments
☆51Updated last year
Alternatives and similar repositories for RL-Experiments
Users that are interested in RL-Experiments are comparing it to the libraries listed below
Sorting:
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆276Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆153Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆153Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆207Updated 4 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Actor-critic with experience replay☆254Updated 2 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago