nikonikolov / rltfLinks
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
Sorting:
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆189Updated 6 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
- Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018☆62Updated 6 years ago
- Highly Modular and Scalable Reinforcement Learning☆115Updated 5 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 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
- Hindsight Experience Replay - Bit flipping experiment in Tensorflow☆58Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.☆151Updated 2 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 9 months ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- ☆92Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 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
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 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
- ☆91Updated last year
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆183Updated 7 years ago
- Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization☆44Updated 6 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago