Alternatives and similar repositories for Stochastic-Marginal-Actor-Critic

Users that are interested in Stochastic-Marginal-Actor-Critic are comparing it to the libraries listed below

• evgenii-nikishin / omd
  JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"
  ☆43Updated 4 years ago
• facebookresearch / level-replay
  This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …
  ☆91Updated 4 years ago
• instadeepai / fastpbrl
  Vectorization techniques for fast population-based training.
  ☆56Updated 3 years ago
• uber-research / D3G
  Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
  ☆32Updated 5 years ago
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆58Updated 3 years ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• subho406 / Recurrent-PPO-Jax
  Implementation of Proximal Policy Optimization in Jax+Flax
  ☆20Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆57Updated 2 years ago
• ben-eysenbach / mnm
  Code to accompany the paper "Mismatched No More: Joint Model-Policy Optimization for Model-Based RL"
  ☆20Updated 4 years ago
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆20Updated 11 months ago
• Howuhh / sac-n-jax
  Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch
  ☆52Updated 2 years ago
• philipjball / OffCon3
  📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)
  ☆24Updated 4 years ago
• Miffyli / nle-sample-factory-baseline
  ☆22Updated 6 months ago
• sail-sg / optim4rl
  Optim4RL is a Jax framework of learning to optimize for reinforcement learning.
  ☆26Updated 10 months ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 2 months ago
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆61Updated 6 years ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• robintyh1 / icml2021-pengqlambda
  Revisiting Peng's Q(lambda) for Modern Reinforcement Learning
  ☆15Updated 4 years ago
• pairlab / vagram
  [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.
  ☆24Updated 2 years ago
• johanobandoc / revisiting_rainbow
  Revisiting Rainbow
  ☆75Updated 4 years ago
• google-deepmind / active_ops
  ☆32Updated last year
• robintyh1 / onpolicybaselines
  on-policy optimization baselines for deep reinforcement learning
  ☆32Updated 5 years ago
• rail-berkeley / design-bench
  ☆51Updated 3 years ago
• danijar / ninjax
  General Modules for JAX
  ☆67Updated 3 weeks ago
• evgenii-nikishin / rl_with_resets
  JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
  ☆101Updated 3 years ago
• rlai-lab / Regularized-GradientTD
  Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.
  ☆36Updated 4 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆81Updated 2 years ago
• microsoft / segar
  Sandbox environment for generalizable agent research
  ☆25Updated 3 years ago
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆56Updated 4 years ago
• sebascuri / hucrl
  ☆32Updated last year