davidreiman / pytorch-atari-dqn
A PyTorch implementation of deep Q-learning for Atari games
☆14Updated 6 years ago
Alternatives and similar repositories for pytorch-atari-dqn:
Users that are interested in pytorch-atari-dqn are comparing it to the libraries listed below
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆201Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- ☆65Updated last year
- ☆43Updated 8 years ago
- Code to train RL agents along with Adversarial distrubance agents☆64Updated 7 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆49Updated 4 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- Gridworld environments for OpenAI gym.☆80Updated last year
- Awesome RL: Papers, Books, Codes, Benchmarks☆115Updated last year
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆175Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆34Updated 2 years ago
- ☆82Updated 3 years ago
- The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …☆166Updated last year
- Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation☆87Updated 7 years ago
- An implement of DQfD(Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Le…☆133Updated 7 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 6 months ago
- Building Agents with Imagination: pytorch step-by-step implementation☆207Updated 6 years ago
- Explore and find reinforcement learning environments in a list of 150+ open source environments.☆90Updated 2 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆236Updated 2 years ago