clvoloshin / constrained_batch_policy_learning
☆26Updated 5 years ago
Alternatives and similar repositories for constrained_batch_policy_learning:
Users that are interested in constrained_batch_policy_learning are comparing it to the libraries listed below
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- ☆42Updated 3 years ago
- ☆60Updated 6 years ago
- ☆85Updated 8 months ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆32Updated 2 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆15Updated 2 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 3 years ago
- ☆91Updated last year
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆56Updated 5 years ago
- ☆53Updated last year
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆47Updated 2 years ago
- ☆15Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- ☆32Updated 8 months ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- ☆42Updated 6 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Updated 6 years ago
- ☆74Updated 10 months ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆17Updated 5 years ago
- ☆28Updated 3 years ago
- ☆17Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆160Updated 4 years ago