Riashat / Policy-Gradient-Reinforcement-LearningLinks
☆37Updated 9 years ago
Alternatives and similar repositories for Policy-Gradient-Reinforcement-Learning
Users that are interested in Policy-Gradient-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- TD-Regularized Actor-Critic Methods☆36Updated 5 years ago
- solutions to the examples and exercises☆42Updated 9 years ago
- hierarchical deep reinforcement learning algorithms☆41Updated 7 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Safe Reinforcement Learning algorithms☆74Updated 2 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆48Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Updated 6 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …☆38Updated 9 years ago
- Robust policy search algorithms which train on model ensembles☆30Updated 8 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- ☆54Updated 7 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 7 years ago
- Unofficial PyBrain extension for multi-agent reinforcement learning in general sum stochastic games.☆69Updated 3 weeks ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Deep Reinforcement Learning for Multi Agent Soccer☆17Updated 8 years ago
- Bayesian Reward Shaping Framework for Deep Reinforcement Learning☆23Updated 6 years ago
- IRL Toolkit developed by Sergey Levine (Taken from https://graphics.stanford.edu/projects/gpirl/)☆62Updated 8 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- Gym environments modified with adversarial agents☆36Updated 8 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆37Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago