sdsubhajitdas / Rocket_Lander_GymLinks
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
☆57Updated 6 years ago
Alternatives and similar repositories for Rocket_Lander_Gym
Users that are interested in Rocket_Lander_Gym are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 3 years ago
- ☆92Updated 4 years ago
- A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments☆66Updated 3 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆200Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆204Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 5 years ago
- [Experimental] TensorFlow 2 version of stable-baselines, temporary repository☆45Updated 5 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆148Updated 3 years ago
- Reading notes & PyTorch experiments on OpenAI's "Spinning Up in DRL" tutorial.☆38Updated 2 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆221Updated 2 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- TorchingUp provides minimal implementations of common Reinforcement Learning algorithms written in PyTorch. It is meant to complement Ope…☆49Updated 2 years ago
- Performances of Reinforcement Learning Agents☆53Updated 5 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆97Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Soft Actor-Critic with advanced features☆50Updated this week
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆317Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆208Updated last year
- OpenAI Gym wrapper for Metacar: A reinforcement learning environment for self-driving cars in the browser.☆45Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago