AadityaRavindran / gym-cartpolemodLinks
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
☆10Updated 7 years ago
Alternatives and similar repositories for gym-cartpolemod
Users that are interested in gym-cartpolemod are comparing it to the libraries listed below
Sorting:
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2R…☆24Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 5 years ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.☆14Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional R…☆15Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- Prioritized Sequence Experience Replay☆10Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆40Updated 2 years ago
- Deep RL agents with PyTorch☆35Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Soft Actor-Critic with advanced features☆51Updated 3 weeks ago
- ☆11Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆38Updated 3 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Evolution-based Soft Actor-Critic (ESAC)☆42Updated last year
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- A repository for code of reinforcement learning algorithms with PyTorch☆30Updated 4 years ago
- ☆10Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆39Updated 6 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆76Updated 5 years ago