5vision / uct_atariLinks
uct tree search + supervised lerning for atari games
☆12Updated 8 years ago
Alternatives and similar repositories for uct_atari
Users that are interested in uct_atari are comparing it to the libraries listed below
Sorting:
- ☆98Updated 9 years ago
- ☆23Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆155Updated 8 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 6 years ago
- some common TD Learning algorithms☆66Updated 5 years ago
- ☆119Updated 5 years ago
- Gym - Doom environments based on VizDoom.☆104Updated 8 years ago
- ☆36Updated 7 years ago
- ☆101Updated 9 years ago
- Deep Attention Recurrent Q-Network☆115Updated 10 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆174Updated 9 years ago
- NIPS 2017 Value Prediction Network☆167Updated 8 years ago
- ☆160Updated 8 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆95Updated 7 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆38Updated 9 years ago
- Implimentation of the Model Free Episodic Control paper by Deep Mind : http://arxiv.org/abs/1606.04460☆55Updated 9 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆70Updated 8 years ago
- A TensorFlow implementation of DeepMind's A Distributional Perspective on Reinforcement Learning.(C51-DQN)☆57Updated 8 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆151Updated last year
- ☆20Updated 6 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆80Updated 7 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- Some hard problems for reinforcement learning.☆32Updated 7 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Updated 8 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 years ago
- ☆44Updated 7 years ago