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:
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆104Updated 3 years ago
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 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
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆97Updated 4 months ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 8 years ago
- High-quality reference implementations of various algorithms for Inverse Reinforcement Learning☆13Updated 7 years ago
- A simple PyTorch implementation of Population Based Training of Neural Networks.☆63Updated 6 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Tensorflow implementation of SNAIL and RL2☆11Updated 6 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 9 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 7 years ago
- Public code for implementation and experiments with differentiable decision trees.☆29Updated last year
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆32Updated 5 years ago
- Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning☆38Updated 2 weeks ago
- ☆85Updated 4 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Code used in our paper "Robust Deep Reinforment Learning through Adversarial Loss"☆33Updated 2 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆33Updated 5 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆37Updated 5 years ago
- Experiments on a discrete mean field game model of population dynamics with reinforcement learning☆38Updated 2 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆69Updated 4 years ago