davidsandberg / rl_ssms
State Space Models for Reinforcement Learning in Tensorflow
☆18Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for rl_ssms
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆33Updated 3 years ago
- Bayesian Uncertainty Exploration in Deep Reinforcement Learning☆18Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 5 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Maximum Causal Entropy Inverse Reinforcement Learning☆47Updated 5 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆44Updated 4 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 2 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆35Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆90Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆94Updated 4 years ago
- ☆81Updated 3 years ago
- PyTorch implementation of various reinforcement learning algorithms☆19Updated 6 years ago
- Dead-ends and Secure Exploration in Reinforcement Learning☆11Updated 5 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 3 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆48Updated 5 years ago
- ☆17Updated 3 years ago
- Contextual Bandits Action Elimination DQN☆19Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆33Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 4 years ago
- Autoregressive policies for continuous control reinforcement learning☆28Updated 5 years ago