jcwleo / mario_rlLinks
☆69Updated 6 years ago
Alternatives and similar repositories for mario_rl
Users that are interested in mario_rl are comparing it to the libraries listed below
Sorting:
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆80Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Random Network Distillation pytorch☆252Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆277Updated 5 years ago
- Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action☆115Updated 6 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆210Updated 6 years ago
- A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow☆182Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆154Updated 6 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆172Updated 4 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Actor-critic with experience replay☆254Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"☆205Updated 6 years ago
- Hierarchical Deep RL Network☆31Updated 8 years ago
- Deep Reinforcement Learning Algorithms Implementation in PyTorch☆27Updated 8 months ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- Adversarial Imitation Via Variational Inverse Reinforcement Learning☆95Updated 5 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- A continuous action space version of A3C LSTM in pytorch plus A3G design☆259Updated last year
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆131Updated 7 years ago