NadeemWard / pytorch_simple_policy_gradientsLinks
Reimplementation of simple policy gradient algorithms such as REINFORCE and Actor-Critic methods.
☆16Updated 2 years ago
Alternatives and similar repositories for pytorch_simple_policy_gradients
Users that are interested in pytorch_simple_policy_gradients are comparing it to the libraries listed below
Sorting:
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Updated 9 months ago
- Official repo for our AAAI'21 paper, https://arxiv.org/abs/2007.12354☆27Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…☆40Updated last year
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 7 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆47Updated 8 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆106Updated 3 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 6 months ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- High-quality reference implementations of various algorithms for Inverse Reinforcement Learning☆13Updated 7 years ago
- Tensorflow implementation of SNAIL and RL2☆11Updated 6 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆38Updated 2 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 10 months ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated 2 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆56Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 5 years ago
- research and implementations of Deep RL agents and their applications☆59Updated 3 months ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 years ago
- ☆85Updated 4 years ago
- A simple PyTorch implementation of Population Based Training of Neural Networks.☆64Updated 6 years ago
- ☆89Updated last year