xkianteb / ApproPO
Reinforcement Learning with Convex Constraints
☆14Updated 2 years ago
Alternatives and similar repositories for ApproPO:
Users that are interested in ApproPO are comparing it to the libraries listed below
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- ☆26Updated 5 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆24Updated 4 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- ☆30Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- ☆65Updated 11 months 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"☆34Updated 5 years ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆45Updated last year
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Disagreement-Regularized Imitation Learning☆30Updated 3 years ago
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆17Updated 5 years ago
- hsvgbkhgbv / Thermostat-assisted-continuously-tempered-Hamiltonian-Monte-Carlo-for-Bayesian-learningThermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning☆10Updated 6 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆29Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Updated 2 years ago
- ☆15Updated 4 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- ☆32Updated 6 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆39Updated 4 years ago
- ☆85Updated 6 months ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆22Updated 2 years ago
- OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.☆61Updated 2 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- ☆13Updated 5 years ago