nikonikolov / rltf
Reinforcement Learning implementations and research prototyping in TensorFlow
☆82Updated 6 years ago
Alternatives and similar repositories for rltf:
Users that are interested in rltf are comparing it to the libraries listed below
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆103Updated 5 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 8 months ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Highly Modular and Scalable Reinforcement Learning☆114Updated 5 years ago
- ☆110Updated 5 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- RainBow, Tensorflow☆49Updated 7 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 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 4 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆56Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Deep Variational Reinforcement Learning☆135Updated 2 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 5 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆215Updated 5 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆150Updated last year
- A PyTorch Library for Reinforcement Learning Research☆198Updated last year
- 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
- My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning☆92Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 6 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 6 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago