billtubbs / gym-CartPole-bt-v0Links
A modified version of the cart-pole OpenAI Gym environment for testing different control policies
☆13Updated last year
Alternatives and similar repositories for gym-CartPole-bt-v0
Users that are interested in gym-CartPole-bt-v0 are comparing it to the libraries listed below
Sorting:
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Safe Reinforcement Learning algorithms☆74Updated 3 years ago
- ☆74Updated 5 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- This repository contains the code for RL for POMDPs through learning an Approximate Information State.☆21Updated 4 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- ☆30Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆44Updated 4 years ago
- Constrained Exploration and Recovery from Experience Shaping☆22Updated 6 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- POMDP wrappers for OpenAI Gym☆15Updated 5 years ago
- ☆72Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆23Updated 4 years ago
- Implementations of a large collection of reinforcement learning algorithms.☆28Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated last month
- A simple, continuous-control environment for OpenAI Gym☆23Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Model-based reinforcement learning in TensorFlow☆56Updated 4 years ago
- Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms☆46Updated last year
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago