davide97l / rl-traingenerator
Automatic code generator for training Reinforcement Learning policies
☆11Updated 4 years ago
Alternatives and similar repositories for rl-traingenerator:
Users that are interested in rl-traingenerator are comparing it to the libraries listed below
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 3 years ago
- Simple implementations of multi-agent evolutionary strategies using pytorch.☆15Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆43Updated 4 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆10Updated 3 years ago
- Understanding RL vision Distill article☆23Updated last year
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 3 months ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 3 years ago
- Train agents on MiniGrid from human demonstrations using Inverse Reinforcement Learning☆13Updated 4 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Actor-Sharer-Learner training framework for off-policy DRL algorithms☆19Updated 3 weeks ago
- Write simple games in Numpy!☆12Updated 2 years ago
- Keras Implementation of DDPG(Deep Deterministic Policy Gradient) with PER(Prioritized Experience Replay) option on OpenAI gym framework☆13Updated last year
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆20Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 5 months ago
- Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"☆19Updated 2 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- Our version of #Exploration: A Study of Count-Based Explorationfor Deep Reinforcement Learning for a class project☆15Updated 3 years ago
- ☆19Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆38Updated 2 months ago
- Code to reproduce results on toy tasks and companion blog for the paper.☆20Updated 2 years ago
- ☆16Updated 3 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 3 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆38Updated 3 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆18Updated 3 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago