brain-research / LeaveNoTrace
Leave No Trace is an algorithm for safe reinforcement learning.
☆15Updated 6 years ago
Alternatives and similar repositories for LeaveNoTrace:
Users that are interested in LeaveNoTrace are comparing it to the libraries listed below
- ☆97Updated last year
- ☆53Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Library for model based RL in robotics☆37Updated 6 years ago
- Hindsight policy gradients☆44Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- Code for "Divide-and-Conquer Reinforcement Learning"☆61Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆72Updated 3 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆97Updated 4 years ago
- Proximal Policy Option-Critic☆22Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- A library of probabilistic model based RL algorithms in pytorch☆108Updated 3 years ago
- A curated list of awesome Model-based reinforcement learning resources☆90Updated 4 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 7 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆21Updated 5 years ago
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- Working directory for dynamics learning for experimental robots.☆56Updated 3 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆28Updated 5 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆83Updated 5 years ago
- Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play☆14Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago